Pedro M. Domingos

Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

A Tractable First-Order Probabilistic Logic.

[BibT_eX]

[DOI]

William Austin Webb

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning.

[BibT_eX]

[DOI]

Mach. Learn., 2011

Relational Dynamic Bayesian Networks

[BibT_eX]

[DOI]

Sumit K. Sanghai

CoRR, 2011

Deep Transfer: A Markov Logic Approach.

[BibT_eX]

[DOI]

Jesse Davis

AI Mag., 2011

Sum-Product Networks: A New Deep Architecture.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

Approximation by Quantization.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

Implementing Weighted Abduction in Markov Logic.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Computational Semantics, 2011

Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models.

[BibT_eX]

[DOI]

Chloé Kiddon

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Formula-Based Probabilistic Inference.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

Approximate Inference by Compilation to Arithmetic Circuits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Learning Efficient Markov Networks.

[BibT_eX]

[DOI]

William Austin Webb

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Learning Markov Logic Networks Using Structural Motifs.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Bottom-Up Learning of Markov Network Structure.

[BibT_eX]

[DOI]

Jesse Davis

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Unsupervised Ontology Induction from Text.

[BibT_eX]

[DOI]

Proceedings of the ACL 2010, 2010

Approximate Lifted Belief Propagation.

[BibT_eX]

[DOI]

Aniruddh Nath

Proceedings of the Statistical Relational Artificial Intelligence, 2010

Machine Reading: A "Killer App" for Statistical Relational AI.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2010

Efficient Lifting for Online Probabilistic Inference.

[BibT_eX]

[DOI]

Aniruddh Nath

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

Efficient Belief Propagation for Utility Maximization and Repeated Inference.

[BibT_eX]

[DOI]

Aniruddh Nath

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

Using Structural Motifs for Learning Markov Logic Networks.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2010

Leveraging Ontologies for Lifted Probabilistic Inference and Learning.

[BibT_eX]

[DOI]

Chloé Kiddon

Proceedings of the Statistical Relational Artificial Intelligence, 2010

Exploiting Logical Structure in Lifted Probabilistic Inference.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2010

Markov Logic: A Language and Algorithms for Link Mining.

[BibT_eX]

[DOI]

Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009

Markov Logic: An Interface Layer for Artificial Intelligence

[BibT_eX]

[DOI]

Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01549-6, 2009

Learning Markov logic network structure via hypergraph lifting.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Deep transfer via second-order Markov logic.

[BibT_eX]

[DOI]

Jesse Davis

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Unsupervised Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2008

Structured machine learning: the next ten years.

[BibT_eX]

[DOI]

Mach. Learn., 2008

Learning Arithmetic Circuits.

[BibT_eX]

[DOI]

Proceedings of the UAI 2008, 2008

Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2008

Just Add Weights: Markov Logic for the Semantic Web.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty Reasoning for the Semantic Web I, 2008

Extracting Semantic Networks from Text Via Relational Clustering.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Markov Logic.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008

Joint Unsupervised Coreference Resolution with Markov Logic.

[BibT_eX]

[DOI]

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Markov logic: a unifying language for knowledge and information management.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Hybrid Markov Logic Networks.

[BibT_eX]

[DOI]

Jue Wang

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Lifted First-Order Belief Propagation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC.

[BibT_eX]

[DOI]

Marc Sumner

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Toward knowledge-rich data mining.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2007

Markov Logic in Infinite Domains.

[BibT_eX]

[DOI]

Proceedings of the UAI 2007, 2007

Efficient Weight Learning for Markov Logic Networks.

[BibT_eX]

[DOI]

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

Recursive Random Fields.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

Statistical predicate invention.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Joint Inference in Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Markov logic networks.

[BibT_eX]

[DOI]

Mach. Learn., 2006

Entity Resolution with Markov Logic.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Learning, Logic, and Probability: A Unified View.

[BibT_eX]

[DOI]

Proceedings of the Managing Knowledge in a World of Networks, 2006

Memory-Efficient Inference in Relational Domains.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

Sound and Efficient Inference with Probabilistic and Deterministic Dependencies.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

Unifying Logical and Statistical AI.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

Social Networks Applied.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2005

Reports on the 2005 AAAI Spring Symposium Series.

[BibT_eX]

[DOI]

AI Mag., 2005

Object Identification with Attribute-Mediated Dependences.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Collective Object Identification.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Naive Bayes models for probability estimation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2005

Learning the structure of Markov logic networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2005

An Efficient and Scalable Architecture for Neural Networks with Backpropagation Learning.

[BibT_eX]

[DOI]

Fernando M. Silva

Horácio C. Neto

Proceedings of the 2005 International Conference on Field Programmable Logic and Applications (FPL), 2005

Organizing Committee.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Collection from Volunteer Contributors, 2005

Discriminative Training of Markov Logic Networks.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2005

2004

iMAP: Discovering Complex Mappings between Database Schemas.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Real-World Learning with Markov Logic Networks.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Adversarial classification.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Learning Bayesian network classifiers by maximizing conditional likelihood.

[BibT_eX]

[DOI]

Daniel Grossman

Proceedings of the Machine Learning, 2004

Combining Link and Content Information in Web Search.

[BibT_eX]

Proceedings of the Web Dynamics - Adapting to Change in Content, Size, Topology and Use, 2004

Ontology Matching: A Machine Learning Approach.

[BibT_eX]

Proceedings of the Handbook on Ontologies, 2004

2003

Learning to match ontologies on the Semantic Web.

[BibT_eX]

[DOI]

VLDB J., 2003

Prospects and challenges for multi-relational data mining.

[BibT_eX]

[DOI]

SIGKDD Explor., 2003

Tree Induction for Probability-Based Ranking.

[BibT_eX]

[DOI]

Foster J. Provost

Mach. Learn., 2003

Programming by Demonstration Using Version Space Algebra.

[BibT_eX]

[DOI]

Mach. Learn., 2003

Learning to Match the Schemas of Data Sources: A Multistrategy Approach.

[BibT_eX]

[DOI]

AnHai Doan

Alon Y. Halevy

Mach. Learn., 2003

Trust Management for the Semantic Web.

[BibT_eX]

[DOI]

Rakesh Agrawal

Proceedings of the Semantic Web, 2003

Building large knowledge bases by mass collaboration.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Knowledge Capture (K-CAP 2003), 2003

Learning programs from traces using version space algebra.

[BibT_eX]

[DOI]

Tessa A. Lau

Proceedings of the 2nd International Conference on Knowledge Capture (K-CAP 2003), 2003

Automatically Personalizing User Interfaces.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-03, 2003

Learning with Knowledge from Multiple Experts.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2003

Learning from Networks of Examples.

[BibT_eX]

[DOI]

Proceedings of the Progress in Artificial Intelligence, 2003

2002

When and How to Subsample: Report on the KDD-2001 Panel.

[BibT_eX]

[DOI]

SIGKDD Explor., 2002

Learning to map between ontologies on the semantic web.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International World Wide Web Conference, 2002

Mining knowledge-sharing sites for viral marketing.

[BibT_eX]

[DOI]

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Mining complex models from arbitrarily large databases in constant time.

[BibT_eX]

[DOI]

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Relational Markov models and their application to adaptive web navigation.

[BibT_eX]

[DOI]

Corin R. Anderson

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Representing and Reasoning about Mappings between Domain Models.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001

Personalizing Web Sites for Mobile Users.

[BibT_eX]

[DOI]

Corin R. Anderson

Proceedings of the Tenth International World Wide Web Conference, 2001

Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach.

[BibT_eX]

[DOI]

AnHai Doan

Alon Y. Halevy

Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Learning from Infinite Data in Finite Time.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Mining time-changing data streams.

[BibT_eX]

[DOI]

Laurie Spencer

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

Mining the network value of customers.

[BibT_eX]

[DOI]

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

Mixed initiative interfaces for learning tasks: SMARTedit talks back.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Intelligent User Interfaces, 2001

Adaptive Web Navigation for Wireless Devices.

[BibT_eX]

Corin R. Anderson

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering.

[BibT_eX]

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Catching up with the Data: Research Issues in Mining Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 2001 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2001

Learning Repetitive Text-Editing Procedures with SMARTedit.

[BibT_eX]

[DOI]

Proceedings of the Your Wish is My Command, 2001

2000

Learning Source Description for Data Integration.

[BibT_eX]

[DOI]

AnHai Doan

Alon Y. Levy

Proceedings of the Third International Workshop on the Web and Databases, 2000

Mining high-speed data streams.

[BibT_eX]

[DOI]

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Version Space Algebra and its Application to Programming by Demonstration.

[BibT_eX]

Tessa A. Lau

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

A Unifeid Bias-Variance Decomposition and its Applications.

[BibT_eX]

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

Bayesian Averaging of Classifiers and the Overfitting Problem.

[BibT_eX]

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

Beyond Occam's Razor: Process-Oriented Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000

A Unified Bias-Variance Decomposition for Zero-One and Squared Loss.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999

The Role of Occam's Razor in Knowledge Discovery.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 1999

MetaCost: A General Method for Making Classifiers Cost-Sensitive.

[BibT_eX]

[DOI]

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Process-Oriented Estimation of Generalization Error.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Process-oriented evaluation: The next step.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998

Knowledge Discovery Via Multiple Models.

[BibT_eX]

[DOI]

Intell. Data Anal., 1998

Occam's Two Razors: The Sharp and the Blunt.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

A Process-Oriented Heuristic for Model Selection.

[BibT_eX]

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

1997

On the Optimality of the Simple Bayesian Classifier under Zero-One Loss.

[BibT_eX]

[DOI]

Michael J. Pazzani

Mach. Learn., 1997

Control-Sensitive Feature Selection for Lazy Learners.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 1997

Why Does Bagging Work? A Bayesian Account and its Implications.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

Knowledge Acquisition form Examples Vis Multiple Models.

[BibT_eX]

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Learning Multiple Models without Sacrificing Comprehensibility.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

A Comparison of Model Averaging Methods in Foreign Exchange Prediction.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996

Unifying Instance-Based and Rule-Based Induction.

[BibT_eX]

[DOI]

Mach. Learn., 1996

Two-Way Induction.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 1996

Efficient Specific-to-General Rule Induction.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Linear-Time Rule Induction.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier.

[BibT_eX]

Michael J. Pazzani

Proceedings of the Machine Learning, 1996

Simple Bayesian Classifiers Do Not Assume Independence.

[BibT_eX]

[DOI]

Michael J. Pazzani

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

Multistrategy Learning: A Case Study.

[BibT_eX]

[DOI]

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

Fast Discovery of Simple Rules.

[BibT_eX]

[DOI]

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

Towards a Unified Approach to Concept Learning.

[BibT_eX]

[DOI]

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

1995

Rule Induction and Instance-Based Learning: A Unified Approach.

[BibT_eX]

[DOI]

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

Progressive rules: a method for representing and using real-time knowledge.

[BibT_eX]

[DOI]

Ernesto M. Morgado

Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

1994

The RISE System: Conquering without Separating.

[BibT_eX]

[DOI]