Tom M. Mitchell

According to our database, Tom M. Mitchell authored at least 227 papers between 1977 and 2024.

Collaborative distances:

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2024

Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions.

Pouya Pezeshkpour, Eser Kandogan, Nikita Bhutani, Sajjadur Rahman, Tom M. Mitchell, Estevam Hruschka

CoRR, 2024

2023

The Roles of Symbols in Neural-Based AI: They Are Not What You Think!

Daniel L. Silver, Tom M. Mitchell

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

SmartPlay : A Benchmark for LLMs as Intelligent Agents.

Yue Wu, Xuan Tang, Tom M. Mitchell, Yuanzhi Li

CoRR, 2023

Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems.

Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell

CoRR, 2023

SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning.

Yue Wu, Shrimai Prabhumoye, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li

CoRR, 2023

Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents.

Yue Wu, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Yuanzhi Li, Tom M. Mitchell, Shrimai Prabhumoye

CoRR, 2023

The Internal State of an LLM Knows When its Lying.

Amos Azaria, Tom M. Mitchell

CoRR, 2023

SPRING: Studying Papers and Reasoning to play Games.

Yue Wu, So Yeon Min, Shrimai Prabhumoye, Yonatan Bisk, Russ Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals.

Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Roles of Symbols in Neural-based AI: They are Not What You Think!

Daniel L. Silver, Tom M. Mitchell

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Zero-shot Triplet Extraction by Template Infilling.

Bosung Kim, Hayate Iso, Nikita Bhutani, Estevam Hruschka, Ndapa Nakashole, Tom M. Mitchell

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

The Internal State of an LLM Knows When It's Lying.

Amos Azaria, Tom M. Mitchell

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Learning to Give Useful Hints: Assistance Action Evaluation and Policy Improvements.

Robin Schmucker, Nimish Pachapurkar, Bala Shanmugam, Miral Shah, Tom M. Mitchell

Proceedings of the Responsive and Sustainable Educational Futures, 2023

2022

Towards General Natural Language Understanding with Probabilistic Worldbuilding.

Abulhair Saparov, Tom M. Mitchell

Trans. Assoc. Comput. Linguistics, 2022

Gender bias, social bias, and representation in Bollywood and Hollywood.

Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell

Patterns, 2022

Gender bias, social bias, and representation: 70 years of B^<i>H</i>ollywood.

Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell

Patterns, 2022

Combining computational controls with natural text reveals aspects of meaning composition.

Mariya Toneva, Tom M. Mitchell, Leila Wehbe

Nat. Comput. Sci., 2022

Transferable Student Performance Modeling for Intelligent Tutoring Systems.

Robin Schmucker, Tom M. Mitchell

CoRR, 2022

Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election.

Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell

Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

Harnessing Unsupervised Word Translation to Address Resource Inequality for Peace and Health.

Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Tom M. Mitchell

Proceedings of the Social Informatics - 13th International Conference, 2022

2021

Assessing the Knowledge State of Online Students - New Data, New Approaches, Improved Accuracy.

Robin Schmucker, Jingbo Wang, Shijia Hu, Tom M. Mitchell

CoRR, 2021

Coarse-to-Fine Curriculum Learning.

Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos

CoRR, 2021

A Generative Symbolic Model for More General Natural Language Understanding and Reasoning.

Abulhair Saparov, Tom M. Mitchell

CoRR, 2021

Gender Bias, Social Bias and Representation: 70 Years of B$^H$ollywood.

Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell

CoRR, 2021

Can We Replace Programming Languages by Natural Instruction?

Tom M. Mitchell

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

WIT: Workshop on deriving Insights from user-generated Text.

Estevam Hruschka, Tom M. Mitchell, Marko Grobelnik, Behzad Golshan

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules.

Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Screen2Vec: Semantic Embedding of GUI Screens and GUI Components.

Toby Jia-Jun Li, Lindsay Popowski, Tom M. Mitchell, Brad A. Myers

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

We Don't Speak the Same Language: Interpreting Polarization through Machine Translation.

Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Conversational Neuro-Symbolic Commonsense Reasoning.

Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Discovering Bilingual Lexicons in Polyglot Word Embeddings.

Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Tom M. Mitchell

CoRR, 2020

From Data to Knowledge to Action: A Global Enabler for the 21st Century.

Eric Horvitz, Tom M. Mitchell

CoRR, 2020

Learning from Imperfect Annotations.

Emmanouil Antonios Platanios, Maruan Al-Shedivat, Eric P. Xing, Tom M. Mitchell

CoRR, 2020

Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents.

Toby Jia-Jun Li, Jingya Chen, Tom M. Mitchell, Brad A. Myers

CoRR, 2020

An agent for learning new natural language commands.

Amos Azaria, Shashank Srivastava, Jayant Krishnamurthy, Igor Labutov, Tom M. Mitchell

Auton. Agents Multi Agent Syst., 2020

Multi-Modal Repairs of Conversational Breakdowns in Task-Oriented Dialogs.

Toby Jia-Jun Li, Jingya Chen, Haijun Xia, Tom M. Mitchell, Brad A. Myers

Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction.

Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Jelly Bean World: A Testbed for Never-Ending Learning.

Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell

Proceedings of the 8th International Conference on Learning Representations, 2020

Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations.

Toby Jia-Jun Li, Tom M. Mitchell, Brad A. Myers

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

Contextual Parameter Generation for Knowledge Graph Link Prediction.

George Stoica, Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data.

Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell

IEEE Trans. Knowl. Data Eng., 2019

Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks.

Mrinmaya Sachan, Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing

Comput. Linguistics, 2019

PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations.

Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers

Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, 2019

Game Design for Eliciting Distinguishable Behavior.

Fan Yang, Liu Leqi, Yifan Wu, Zachary Chase Lipton, Pradeep Ravikumar, Tom M. Mitchell, William W. Cohen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Data Manipulation for Augmentation and Weighting.

Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Understanding language-elicited EEG data by predicting it from a fine-tuned language model.

Dan Schwartz, Tom M. Mitchell

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Competence-based Curriculum Learning for Neural Machine Translation.

Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabás Póczos, Tom M. Mitchell

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Learning to Ask for Conversational Machine Learning.

Shashank Srivastava, Igor Labutov, Tom M. Mitchell

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Look-up and Adapt: A One-shot Semantic Parser.

Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Relating Simple Sentence Representations in Deep Neural Networks and the Brain.

Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom M. Mitchell

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Teaching Agents When They Fail: End User Development in Goal-Oriented Conversational Agents.

Toby Jia-Jun Li, Igor Labutov, Brad A. Myers, Amos Azaria, Alexander I. Rudnicky, Tom M. Mitchell

Proceedings of the Studies in Conversational UX Design, 2018

Discourse in Multimedia: A Case Study in Information Extraction.

Mrinmaya Sachan, Kumar Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing

CoRR, 2018

Never-ending learning.

Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling

Commun. ACM, 2018

APPINITE: A Multi-Modal Interface for Specifying Data Descriptions in Programming by Demonstration Using Natural Language Instructions.

Toby Jia-Jun Li, Igor Labutov, Xiaohan Nancy Li, Xiaoyi Zhang, Wenze Shi, Wanling Ding, Tom M. Mitchell, Brad A. Myers

Proceedings of the 2018 IEEE Symposium on Visual Languages and Human-Centric Computing, 2018

Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems.

Mrinmaya Sachan, Kumar Avinava Dubey, Tom M. Mitchell, Dan Roth, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Contextual Parameter Generation for Universal Neural Machine Translation.

Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning to Learn Semantic Parsers from Natural Language Supervision.

Igor Labutov, Bishan Yang, Tom M. Mitchell

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

LIA: A Natural Language Programmable Personal Assistant.

Igor Labutov, Shashank Srivastava, Tom M. Mitchell

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

Zero-shot Learning of Classifiers from Natural Language Quantification.

Shashank Srivastava, Igor Labutov, Tom M. Mitchell

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

An entity graph based Recommender System.

Sneha Chaudhari, Amos Azaria, Tom M. Mitchell

AI Commun., 2017

Merging knowledge bases in different languages.

Jerónimo Hernández-González, Estevam R. Hruschka Jr., Tom M. Mitchell

Proceedings of TextGraphs@ACL 2017: the 11th Workshop on Graph-based Methods for Natural Language Processing, 2017

BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals.

Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos E. Papalexakis, Partha P. Talukdar, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Barnabás Póczos

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach.

Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Parsing Natural Language Conversations using Contextual Cues.

Shashank Srivastava, Amos Azaria, Tom M. Mitchell

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Joint Sequential and Relational Model for Frame-Semantic Parsing.

Bishan Yang, Tom M. Mitchell

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Joint Concept Learning and Semantic Parsing from Natural Language Explanations.

Shashank Srivastava, Igor Labutov, Tom M. Mitchell

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Probabilistic Generative Grammar for Semantic Parsing.

Abulhair Saparov, Vijay A. Saraswat, Tom M. Mitchell

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Leveraging Knowledge Bases in LSTMs for Improving Machine Reading.

Bishan Yang, Tom M. Mitchell

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications.

Evangelos E. Papalexakis, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy

Stat. Anal. Data Min., 2016

A Probabilistic Generative Grammar for Semantic Parsing.

Abulhair Saparov, Tom M. Mitchell

CoRR, 2016

Machine Reading with Background Knowledge.

Ndapandula Nakashole, Tom M. Mitchell

CoRR, 2016

CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking.

Bishan Yang, Ndapandula Nakashole, Bryan Kisiel, Emmanouil A. Platanios, Abulhair Saparov, Shashank Srivastava, Derry Wijaya, Tom M. Mitchell

Proceedings of the 2016 Text Analysis Conference, 2016

Joint Extraction of Events and Entities within a Document Context.

Bishan Yang, Tom M. Mitchell

Proceedings of the NAACL HLT 2016, 2016

Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua.

Derry Tanti Wijaya, Tom M. Mitchell

Proceedings of the NAACL HLT 2016, 2016

Estimating Accuracy from Unlabeled Data: A Bayesian Approach.

Emmanouil Antonios Platanios, Avinava Dubey, Tom M. Mitchell

Proceedings of the 33nd International Conference on Machine Learning, 2016

Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis.

Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Inferring Interpersonal Relations in Narrative Summaries.

Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Instructable Intelligent Personal Agent.

Amos Azaria, Jayant Krishnamurthy, Tom M. Mitchell

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary.

Jayant Krishnamurthy, Tom M. Mitchell

Trans. Assoc. Comput. Linguistics, 2015

Weakly Supervised Extraction of Computer Security Events from Twitter.

Alan Ritter, Evan Wright, William Casey, Tom M. Mitchell

Proceedings of the 24th International Conference on World Wide Web, 2015

CMUML System for KBP 2015 Cold Start Slot Filling.

Bryan Kisiel, Bill McDowell, Matt Gardner, Ndapandula Nakashole, Emmanouil A. Platanios, Abulhair Saparov, Shashank Srivastava, Derry Wijaya, Tom M. Mitchell

Proceedings of the 2015 Text Analysis Conference, 2015

Principled Neuro-Functional Connectivity Discovery.

Kejun Huang, Nicholas D. Sidiropoulos, Evangelos E. Papalexakis, Christos Faloutsos, Partha Pratim Talukdar, Tom M. Mitchell

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

A Compositional and Interpretable Semantic Space.

Alona Fyshe, Leila Wehbe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand.

Mehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Tom M. Mitchell

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

"A Spousal Relation Begins with a Deletion of engage and Ends with an Addition of divorce": Learning State Changing Verbs from Wikipedia Revision History.

Derry Tanti Wijaya, Ndapandula Nakashole, Tom M. Mitchell

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Translation Invariant Word Embeddings.

Kejun Huang, Matt Gardner, Evangelos E. Papalexakis, Christos Faloutsos, Nikos D. Sidiropoulos, Tom M. Mitchell, Partha Pratim Talukdar, Xiao Fu

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction.

Matt Gardner, Tom M. Mitchell

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Sense discovery via co-clustering on images and text.

Xinlei Chen, Alan Ritter, Abhinav Gupta, Tom M. Mitchell

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A Knowledge-Intensive Model for Prepositional Phrase Attachment.

Ndapandula Nakashole, Tom M. Mitchell

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text.

Matt Gardner, Partha P. Talukdar, Tom Michael Mitchell

Proceedings of the 2015 AAAI Spring Symposia, 2015

Never-Ending Learning.

Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Multivariate analysis of correlation between electrophysiological and hemodynamic responses during cognitive processing.

Jan Kujala, Gustavo P. Sudre, Johanna Vartiainen, Mia Liljeström, Tom M. Mitchell, Riitta Salmelin

NeuroImage, 2014

Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic.

William Yang Wang, Kathryn Mazaitis, Ni Lao, Tom M. Mitchell, William W. Cohen

CoRR, 2014

Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments.

Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos

Big Data, 2014

Estimating Accuracy from Unlabeled Data.

Emmanouil Antonios Platanios, Avrim Blum, Tom M. Mitchell

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x.

Evangelos E. Papalexakis, Christos Faloutsos, Tom M. Mitchell, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Brian Murphy

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments.

Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Assuming Facts Are Expressed More Than Once.

Justin Betteridge, Alan Ritter, Tom M. Mitchell

Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection.

Derry Tanti Wijaya, Ndapandula Nakashole, Tom M. Mitchell

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Aligning context-based statistical models of language with brain activity during reading.

Leila Wehbe, Ashish Vaswani, Kevin Knight, Tom M. Mitchell

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases.

Matt Gardner, Partha Pratim Talukdar, Jayant Krishnamurthy, Tom M. Mitchell

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Language-Aware Truth Assessment of Fact Candidates.

Ndapandula Nakashole, Tom M. Mitchell

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar.

Jayant Krishnamurthy, Tom M. Mitchell

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning.

Alona Fyshe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization

Evangelos E. Papalexakis, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy

CoRR, 2013

CMUML System for KBP 2013 Slot Filling.

Bryan Kisiel, Justin Betteridge, Matt Gardner, Jayant Krishnamurthy, Ndapa Nakashole, Mehdi Samadi, Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell

Proceedings of the Sixth Text Analysis Conference, 2013

Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues.

Matt Gardner, Partha Pratim Talukdar, Bryan Kisiel, Tom M. Mitchell

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition.

Alona Fyshe, Brian Murphy, Partha Pratim Talukdar, Tom M. Mitchell

Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

PIDGIN: ontology alignment using web text as interlingua.

Derry Wijaya, Partha Pratim Talukdar, Tom M. Mitchell

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models.

Jayant Krishnamurthy, Tom M. Mitchell

Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, 2013

2012

Tracking neural coding of perceptual and semantic features of concrete nouns.

Gustavo P. Sudre, Dean Pomerleau, Mark Palatucci, Leila Wehbe, Alona Fyshe, Riitta Salmelin, Tom M. Mitchell

NeuroImage, 2012

Hierarchical Latent Dictionaries for Models of Brain Activation.

Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M. Mitchell

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Coupled temporal scoping of relational facts.

Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Selecting Corpus-Semantic Models for Neurolinguistic Decoding.

Brian Murphy, Partha P. Talukdar, Tom M. Mitchell

Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

Weakly Supervised Training of Semantic Parsers.

Jayant Krishnamurthy, Tom M. Mitchell

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Never Ending Learning.

Tom M. Mitchell

Proceedings of the ECAI 2012, 2012

Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding.

Brian Murphy, Partha Pratim Talukdar, Tom M. Mitchell

Proceedings of the COLING 2012, 2012

Acquiring temporal constraints between relations.

Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Commonality of neural representations of words and pictures.

Svetlana V. Shinkareva, Vicente L. Malave, Robert A. Mason, Tom M. Mitchell, Marcel Adam Just

NeuroImage, 2011

Quantitative modeling of the neural representation of objects: How semantic feature norms can account for fMRI activation.

Kai-min Kevin Chang, Tom M. Mitchell, Marcel Adam Just

NeuroImage, 2011

Neural Representations of Word Meanings.

Tom M. Mitchell

Proceedings of the INTERSPEECH 2011, 2011

Discovering Relations between Noun Categories.

Thahir Mohamed, Estevam R. Hruschka Jr., Tom M. Mitchell

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Random Walk Inference and Learning in A Large Scale Knowledge Base.

Ni Lao, Tom M. Mitchell, William W. Cohen

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Which Noun Phrases Denote Which Concepts?

Jayant Krishnamurthy, Tom M. Mitchell

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Coupled semi-supervised learning for information extraction.

Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr., Tom M. Mitchell

Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Learning to Tag from Open Vocabulary Labels.

Edith Law, Burr Settles, Tom M. Mitchell

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Toward an Architecture for Never-Ending Language Learning.

Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., Tom M. Mitchell

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Machine learning classifiers and fMRI: A tutorial overview.

Francisco Pereira, Tom M. Mitchell, Matthew M. Botvinick

NeuroImage, 2009

Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using Hidden Process Models.

Rebecca A. Hutchinson, Radu Stefan Niculescu, Timothy A. Keller, Indrayana Rustandi, Tom M. Mitchell

NeuroImage, 2009

A Combined Expression-Interaction Model for Inferring the Temporal Activity of Transcription Factors.

Yanxin Shi, Michael Klutstein, Itamar Simon, Tom M. Mitchell, Ziv Bar-Joseph

J. Comput. Biol., 2009

Populating the Semantic Web by Macro-reading Internet Text.

Tom M. Mitchell, Justin Betteridge, Andrew Carlson, Estevam R. Hruschka Jr., Richard C. Wang

Proceedings of the Semantic Web - ISWC 2009, 8th International Semantic Web Conference, 2009

Zero-shot Learning with Semantic Output Codes.

Mark Palatucci, Dean Pomerleau, Geoffrey E. Hinton, Tom M. Mitchell

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Search war: a game for improving web search.

Edith Law, Luis von Ahn, Tom M. Mitchell

Proceedings of the ACM SIGKDD Workshop on Human Computation, Paris, France, June 28, 2009, 2009

Quantitative modeling of the neural representation of adjective-noun phrases to account for fMRI activation.

Kai-min Kevin Chang, Vladimir Cherkassky, Tom M. Mitchell, Marcel Adam Just

Proceedings of the ACL 2009, 2009

Toward Mixed-Initiative Email Clustering.

Yifen Huang, Tom M. Mitchell

Proceedings of the Agents that Learn from Human Teachers, 2009

Toward Never Ending Language Learning.

Justin Betteridge, Andrew Carlson, Sue Ann Hong, Estevam R. Hruschka Jr., Edith L. M. Law, Tom M. Mitchell, Sophie H. Wang

Proceedings of the Learning by Reading and Learning to Read, 2009

2008

A Combined Expression-Interaction Model for Inferring the Temporal Activity of Transcription Factors.

Yanxin Shi, Itamar Simon, Tom M. Mitchell, Ziv Bar-Joseph

Proceedings of the Research in Computational Molecular Biology, 2008

Computational Models of Neural Representations in the Human Brain.

Tom M. Mitchell

Proceedings of the Discovery Science, 11th International Conference, 2008

2007

Inferring pairwise regulatory relationships from multiple time series datasets.

Yanxin Shi, Tom M. Mitchell, Ziv Bar-Joseph

Bioinform., 2007

In Honor of Marvin Minsky's Contributions on his 80th Birthday.

Danny Hillis, John McCarthy, Tom M. Mitchell, Erik T. Mueller, Doug Riecken, Aaron Sloman, Patrick Henry Winston

AI Mag., 2007

Classification in Very High Dimensional Problems with Handfuls of Examples.

Mark Palatucci, Tom M. Mitchell

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Learning, Information Extraction and the Web.

Tom M. Mitchell

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Continuous hidden process model for time series expression experiments.

Yanxin Shi, Michael Klutstein, Itamar Simon, Tom M. Mitchell, Ziv Bar-Joseph

Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Feature selection for grasp recognition from optical markers.

Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchell, Eric P. Xing

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints.

Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao

Proceedings of the IJCAI 2007, 2007

Modeling the fMRI Signal via Hierarchical Clustered Hidden Process Models.

Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao

Proceedings of the AMIA 2007, 2007

2006

Bayesian Network Learning with Parameter Constraints.

Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao

J. Mach. Learn. Res., 2006

Text clustering with extended user feedback.

Yifen Huang, Tom M. Mitchell

Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Hidden process models.

Rebecca A. Hutchinson, Tom M. Mitchell, Indrayana Rustandi

Proceedings of the Machine Learning, 2006

Extracting Knowledge about Users' Activities from Raw Workstation Contents.

Tom M. Mitchell, Sophie H. Wang, Yifen Huang, Adam Cheyer

Proceedings of the Proceedings, 2006

Semi-Supervised Text Classification Using EM.

Kamal Nigam, Andrew McCallum, Tom M. Mitchell

Proceedings of the Semi-Supervised Learning, 2006

2005

Predicting dire outcomes of patients with community acquired pneumonia.

Gregory F. Cooper, Vijoy Abraham, Constantin F. Aliferis, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Janine E. Janosky, Gary Livingston, Tom M. Mitchell

J. Biomed. Informatics, 2005

The 2005 AAAI Classic Paper Awards.

Tom M. Mitchell, Hector J. Levesque

AI Mag., 2005

Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models.

Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Machine Learning for Analyzing Human Brain Function.

Tom M. Mitchell

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Learning Topic-Based Mixture Models for Factored Classification.

Qiong Chen, Tom M. Mitchell

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004

Learning to Decode Cognitive States from Brain Images.

Tom M. Mitchell, Rebecca A. Hutchinson, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang, Marcel Adam Just, Sharlene D. Newman

Mach. Learn., 2004

Intelligent Workstation Agents and Unstructured Workstation Data.

Tom M. Mitchell

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Detecting Significant Multidimensional Spatial Clusters.

Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Learning to Classify Email into "Speech Acts".

William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell

Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004

Inferring Ongoing Activities of Workstation Users by Clustering Email.

Yifen Huang, Dinesh Govindaraju, Tom M. Mitchell, Vitor Rocha de Carvalho, William W. Cohen

Proceedings of the CEAS 2004, 2004

2003

AI Matures and Flourishes in North America.

David Mike Hamilton, Tom M. Mitchell, Carol McKenna Hamilton

IEEE Intell. Syst., 2003

In Memoriam: Charles Rosen, Norman Nielsen, and Saul Amarel.

Peter E. Hart, Nils J. Nilsson, Ray Perrault, Tom M. Mitchell, Casimir A. Kulikowski

AI Mag., 2003

Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects.

Xuerui Wang, Rebecca A. Hutchinson, Tom M. Mitchell

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Classifying Instantaneous Cognitive States from fMRI Data.

Tom M. Mitchell, Rebecca A. Hutchinson, Marcel Adam Just, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang

Proceedings of the AMIA 2003, 2003

Artificial Intelligence and Human Brain Imaging.

Tom M. Mitchell

Proceedings of the Advances in Artificial Intelligence, 2003

2001

AAAI 2000 Workshop Reports.

Yves Lespérance, Gerd Wagner, William P. Birmingham, Kurt D. Bollacker, Alexander Nareyek, J. Paul Walser, David W. Aha, Timothy W. Finin, Benjamin N. Grosof, Nathalie Japkowicz, Robert Holte, Lise Getoor, Carla P. Gomes, Holger H. Hoos, Alan C. Schultz, Miroslav Kubat, Tom M. Mitchell, Jörg Denzinger, Yolanda Gil, Karen L. Myers, Claudio Bettini, Angelo Montanari

AI Mag., 2001

Author's response to reviews of Machine Learning.

Tom M. Mitchell

Artif. Intell., 2001

Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation.

Francisco Pereira, Marcel Adam Just, Tom M. Mitchell

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

Extracting targeted data from the web.

Tom M. Mitchell

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

2000

Text Classification from Labeled and Unlabeled Documents using EM.

Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell

Mach. Learn., 2000

Learning to construct knowledge bases from the World Wide Web.

Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery

Artif. Intell., 2000

Discovering Test Set Regularities in Relational Domains.

Seán Slattery, Tom M. Mitchell

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Machine Learning and Data Mining.

Tom M. Mitchell

Commun. ACM, 1999

Automated Learning and Discovery State-of-the-Art and Research Topics in a Rapidly Growing Field.

Sebastian Thrun, Christos Faloutsos, Tom M. Mitchell, Larry A. Wasserman

AI Mag., 1999

1998

Improving Text Classification by Shrinkage in a Hierarchy of Classes.

Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell, Andrew Y. Ng

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Combining Labeled and Unlabeled Data with Co-Training.

Avrim Blum, Tom M. Mitchell

Proceedings of the Eleventh Annual Conference on Computational Learning Theory, 1998

Learning to Classify Text from Labeled and Unlabeled Documents.

Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

Learning to Extract Symbolic Knowledge from the World Wide Web.

Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997

An evaluation of machine-learning methods for predicting pneumonia mortality.

Gregory F. Cooper, Constantin F. Aliferis, Richard Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, Geoffrey J. Gordon, Barbara H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas S. Richardson, Peter Spirtes

Artif. Intell. Medicine, 1997

Does Machine Learning Really Work?

Tom M. Mitchell

AI Mag., 1997

Web Watcher: A Tour Guide for the World Wide Web.

Thorsten Joachims, Dayne Freitag, Tom M. Mitchell

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Machine Learning Meets Natural Language.

Tom M. Mitchell

Proceedings of the Progress in Artificial Intelligence, 1997

Machine learning, International Edition.

Tom M. Mitchell

McGraw-Hill Series in Computer Science, McGraw-Hill, ISBN: 0-07-115467-1, 1997

1996

Challenge Problems for Artificial Intelligence (Panel Statements).

Bart Selman, Rodney A. Brooks, Thomas L. Dean, Eric Horvitz, Tom M. Mitchell, Nils J. Nilsson

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995

Lifelong robot learning.

Sebastian Thrun, Tom M. Mitchell

Robotics Auton. Syst., 1995

Using the Future to Sort Out the Present: Rankprop and Multitask Learning for Medical Risk Evaluation.

Rich Caruana, Shumeet Baluja, Tom M. Mitchell

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Learning One More Thing.

Sebastian Thrun, Tom M. Mitchell

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Machine Learning in the World Wide Web.

Tom M. Mitchell

Proceedings of the Machine Learning: ECML-95, 1995

1994

Experience with a Learning Personal Assistant.

Tom M. Mitchell, Rich Caruana, Dayne Freitag, John P. McDermott, David Zabowski

Commun. ACM, 1994

1993

The engineering design research center of Carnegie Mellon University.

Georgette H. Demes, Steven J. Fenves, Ignacio E. Grossmann, Chris T. Hendrickson, Tom M. Mitchell, Friedrich B. Prinz, Daniel P. Siewiorek, Eswaran Subrahmanian, Sarosh Talukdar, Arthur Westerberg

Proc. IEEE, 1993

An Apprentice-Based Approach to Knowledge Acquisition.

Sridhar Mahadevan, Tom M. Mitchell, Jack Mostow, Louis I. Steinberg, Prasad Tadepalli

Artif. Intell., 1993

Integrating Inductive Neural Network Learning and Explanation-Based Learning.

Sebastian Thrun, Tom M. Mitchell

Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches.

Tom M. Mitchell, Sebastian Thrun

Proceedings of the Machine Learning, 1993

Office Automation Systems that are "Programmed" by their Users.

Siegfried Bocionek, Tom M. Mitchell

Proceedings of the Informatik - Wirtschaft - Gesellschaft, 23. Gi-Jahrestagung, Dresden, Germany, 27. September, 1993

1992

Explanation-Based Neural Network Learning for Robot Control.

Tom M. Mitchell, Sebastian Thrun

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

A Personal Learning Apprentice.

C. Lisa Dent, Jesus Boticario, John P. McDermott, Tom M. Mitchell, David Zabowski

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991

Plan-Then-Compile Architectures.

Tom M. Mitchell

SIGART Bull., 1991

Learning reliable manipulation strategies without initial physical models.

Alan D. Christiansen, Matthew T. Mason, Tom M. Mitchell

Robotics Auton. Syst., 1991

Personal Learning Apprentices.

Tom M. Mitchell

Proceedings of the Methodologies for Intelligent Systems, 6th International Symposium, 1991

Justification-Based Refinement of Expert Knowledge.

Jeffrey C. Schlimmer, Tom M. Mitchell, John P. McDermott

Proceedings of the Knowledge Discovery in Databases, 1991

1990

Embedding Learning in a General Frame-Based Architecture.

Toshikazu Tanaka, Tom M. Mitchell

Int. J. Pattern Recognit. Artif. Intell., 1990

Becoming Increasingly Reactive.

Tom M. Mitchell

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989

Ambler: An Autonomous Rover for Planetary Exploration.

John Bares, Martial Hebert, Takeo Kanade, Eric Krotkov, Tom M. Mitchell, Reid G. Simmons, William Whittaker

Computer, 1989

Experiments in Robot Learning.

Matthew T. Mason, Alan D. Christiansen, Tom M. Mitchell

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

On Becoming Reactive.

Jim Blythe, Tom M. Mitchell

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1986

Explanation-Based Generalization: A Unifying View.

Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli

Mach. Learn., 1986

1985

A Knowledge-Based Approach to Design.

Tom M. Mitchell, Louis I. Steinberg, Jeffrey S. Shulman

IEEE Trans. Pattern Anal. Mach. Intell., 1985

The Redesign System: A Knowledge-Based Approach to VLSI CAD.

Louis I. Steinberg, Tom M. Mitchell

IEEE Des. Test, 1985

Representation and Use of Explicit Justifications for Knowledge Base Refinements.

Reid G. Smith, Howard A. Winston, Tom M. Mitchell, Bruce G. Buchanan

Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

LEAP: A Learning Apprentice for VLSI Design.

Tom M. Mitchell, Sridhar Mahadevan, Louis I. Steinberg

Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

Learning in Knowledge-Base Management Systems.

Tom M. Mitchell

Proceedings of the On Knowledge Base Management Systems: Integrating Artificial Intelligence and Database Technologies, 1985

Learning Improved Integrity Constraints and Schemes From Exceptions in Data and Knowledge Bases.

Alexander Borgida, Tom M. Mitchell, Keith E. Williamson

Proceedings of the On Knowledge Base Management Systems: Integrating Artificial Intelligence and Database Technologies, 1985

1984

A knowledge based approach to VLSI CAD the redesign system.

Louis I. Steinberg, Tom M. Mitchell

Proceedings of the 21st Design Automation Conference, 1984

1983

Machine Learning: A Historical and Methodological Analysis.

Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell

AI Mag., 1983

Learning and Problem Solving.

Tom M. Mitchell

Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983

An Intelligent Aid for Circuit Redesign.

Tom M. Mitchell, Louis I. Steinberg, Smadar T. Kedar-Cabelli, Van E. Kelly, Jeffrey S. Shulman, Timothy Weinrich

Proceedings of the National Conference on Artificial Intelligence, 1983

1982

Learning from Solution Paths: An Approach to the Credit Assignment Problem.

Derek H. Sleeman, Pat Langley, Tom M. Mitchell

AI Mag., 1982

Artificial Intelligence Research at Rutgers.

Tom M. Mitchell

AI Mag., 1982

Generalization as Search.

Tom M. Mitchell

Artif. Intell., 1982

Acquisition of Appropriate Bias for Inductive Concept Learning.

Paul E. Utgoff, Tom M. Mitchell

Proceedings of the National Conference on Artificial Intelligence, 1982

1981

Learning Problem-Solving Heuristics Through Practice.

Tom M. Mitchell, Paul E. Utgoff, Bernard Nudel, Ranan B. Banerji

Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981

Representations for Reasoning about Digital Circuits.

Tom M. Mitchell, Louis I. Steinberg, Reid G. Smith, Pat Schooley, Howard Jacobs, Van E. Kelly

Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981

1979

An Analysis of Generalization as a Search Problem.

Tom M. Mitchell

Proceedings of the Sixth International Joint Conference on Artificial Intelligence, 1979

1977

Model-directed learning of production rules.

Bruce G. Buchanan, Tom M. Mitchell

SIGART Newsl., 1977

A Model for Learning Systems.

Reid G. Smith, Tom M. Mitchell, R. A. Chestek, Bruce G. Buchanan

Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, 1977

Version Spaces: A Candidate Elimination Approach to Rule Learning.

Tom M. Mitchell

Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, 1977