Charles Ling

Bin Gu

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Towards More General Loss and Setting in Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2023

Episodic task agnostic contrastive training for multi-task learning.

[BibT_eX]

[DOI]

Neural Networks, May, 2023

Label shift conditioned hybrid querying for deep active learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

Hessian Aware Low-Rank Weight Perturbation for Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments.

[BibT_eX]

[DOI]

CoRR, 2023

A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning.

[BibT_eX]

[DOI]

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

When Source-Free Domain Adaptation Meets Learning with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dynamically Instance-Guided Adaptation: A Backward-free Approach for Test-Time Domain Adaptive Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation.

[BibT_eX]

[DOI]

Pengcheng Xu

Boyu Wang

Charles Ling

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Evolving Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2022

On Learning Fairness and Accuracy on Multiple Subgroups.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Generalized error path algorithm.

[BibT_eX]

[DOI]

Bin Gu

Pattern Recognit., 2021

Hone as You Read: A Practical Type of Interactive Summarization.

[BibT_eX]

[DOI]

CoRR, 2021

A Deep Learning Framework for Lifelong Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Aggregating From Multiple Target-Shifted Sources.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

An optimal model with a lower bound of recall for imbalanced speech emotion recognition.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2020

Ensemble Learning With Attention-Integrated Convolutional Recurrent Neural Network for Imbalanced Speech Emotion Recognition.

[BibT_eX]

[DOI]

IEEE Access, 2020

Towards a Unified Lifelong Learning Framework.

[BibT_eX]

[DOI]

Xinyu Yun

Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020

Catching Attention with Automatic Pull Quote Selection.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

A Deeper Look at Bongard Problems.

[BibT_eX]

[DOI]

Xinyu Yun

Proceedings of the Advances in Artificial Intelligence, 2020

Region-Based Global Reasoning Networks.

[BibT_eX]

[DOI]

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

2019

A Unified Framework for Lifelong Learning in Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Few-Shot Abstract Visual Reasoning With Spectral Features.

[BibT_eX]

[DOI]

Yining Hu

CoRR, 2019

Learning Sentence Embeddings for Coherence Modelling and Beyond.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

2018

Leveraging clustering to improve collaborative filtering.

[BibT_eX]

[DOI]

Nima Mirbakhsh

Inf. Syst. Frontiers, 2018

The convergence of linear classifiers on large sparse data.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Neural Sentence Location Prediction for Summarization.

[BibT_eX]

[DOI]

CoRR, 2018

Pelee: A Real-Time Object Detection System on Mobile Devices.

[BibT_eX]

[DOI]

Jun Wang

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

Pelee: A Real-Time Object Detection System on Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Cost-Sensitive Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Class Imbalance Problem.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Triply Stochastic Gradients on Multiple Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Effective Multiclass Transfer for Hypothesis Transfer Learning.

[BibT_eX]

[DOI]

Xiang Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Fast Generalized Distillation for Semi-Supervised Domain Adaptation.

[BibT_eX]

[DOI]

Xiang Li

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

The Convergence Behavior of Naive Bayes on Large Sparse Datasets.

[BibT_eX]

[DOI]

Xiang Li

Huaimin Wang

ACM Trans. Knowl. Discov. Data, 2016

2015

Improving Top-N Recommendation for Cold-Start Users via Cross-Domain Information.

[BibT_eX]

[DOI]

Nima Mirbakhsh

ACM Trans. Knowl. Discov. Data, 2015

Data Sparseness in Linear SVM.

[BibT_eX]

[DOI]

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

A New Generalized Error Path Algorithm for Model Selection.

[BibT_eX]

[DOI]

Bin Gu

Proceedings of the 32nd International Conference on Machine Learning, 2015

Adapting New Categories for Food Recognition with Deep Representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Detecting both superimposed and scene text with multiple languages and multiple alignments in video.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2014

Tag recommendation for open source software.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2014

Reviewer Recommender of Pull-Requests in GitHub.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Conference on Software Maintenance and Evolution, Victoria, BC, Canada, September 29, 2014

GlucoGuide: An Intelligent Type-2 Diabetes Solution Using Data Mining and Mobile Computing.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Mobile-based food classification for Type-2 Diabetes using nutrient and textual features.

[BibT_eX]

[DOI]

Yan Luo

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration.

[BibT_eX]

[DOI]

Proceedings of the 21st Asia-Pacific Software Engineering Conference, 2014

2013

Measuring Similarity Based on Link Information: A Comparative Study.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2013

Core set analysis in inconsistent decision tables.

[BibT_eX]

[DOI]

Inf. Sci., 2013

Clustering-based factorized collaborative filtering.

[BibT_eX]

[DOI]

Nima Mirbakhsh

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Decisive Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Effective Top-Down Active Learning for Hierarchical Text Classification.

[BibT_eX]

[DOI]

Xiao Li

Huaimin Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Mining Software Profile across Multiple Repositories for Hierarchical Categorization.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Software Maintenance, 2013

2012

Crafting Your Research Future: A Guide to Successful Master's and Ph.D. Degrees in Science & Engineering

[BibT_eX]

[DOI]

Synthesis Lectures on Engineering, Morgan & Claypool Publishers, ISBN: 978-3-031-79351-6, 2012

A Reliable People Counting System via Multiple Cameras.

[BibT_eX]

[DOI]

Huadong Ma

Chengbin Zeng

ACM Trans. Intell. Syst. Technol., 2012

Active Learning with c-Certainty.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Active Learning for Hierarchical Text Classification.

[BibT_eX]

[DOI]

Xiao Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Foundation of Mining Class-Imbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

2011

Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2011

When Does Cotraining Work in Real Data?

[BibT_eX]

[DOI]

Zhi-Hua Zhou

IEEE Trans. Knowl. Data Eng., 2011

Introduction to special issue on machine learning for business applications.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2011

A clustering-based differential evolution for global optimization.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2011

Active Teaching for Inductive Learners.

[BibT_eX]

[DOI]

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Asking Generalized Queries with Minimum Cost.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Efficient Action Extraction with Many-to-Many Relationship between Actions and Features.

[BibT_eX]

[DOI]

Proceedings of the Logic, Rationality, and Interaction - Third International Workshop, 2011

A New Search Engine Integrating Hierarchical Browsing and Keyword Search.

[BibT_eX]

[DOI]

Xiao Li

Proceedings of the IJCAI 2011, 2011

Learning with Guaranteed Label Quality.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Direct Marketing with Fewer Mistakes.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010

Cost-Sensitive Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Class Imbalance Problem.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Asking Generalized Queries to Domain Experts to Improve Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2010

DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization.

[BibT_eX]

[DOI]

Wenyin Gong

Zhihua Cai

Soft Comput., 2010

A real-coded biogeography-based optimization with mutation.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2010

Asking Generalized Queries to Ambiguous Oracle.

[BibT_eX]

[DOI]

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

Supervised Learning with Minimal Effort.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Active Learning with Human-Like Noisy Oracle.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

Adapting cost-sensitive learning for reject option.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Cost-Sensitive Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Semi-Supervised Learning in Reconstructed Manifold Space for 3D Caricature Generation.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2009

When does Co-training Work in Real Data?.

[BibT_eX]

[DOI]

Zhi-Hua Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009

Active Learning with Generalized Queries.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2009, 2009

Hybrid differential evolution based on fuzzy C-means clustering.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Co-Training on Handwritten Digit Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2009

From Machine Learning to Child Learning.

[BibT_eX]

[DOI]

Charles Ling

Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008

Proper Model Selection with Significance Test.

[BibT_eX]

[DOI]

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

Active learning with direct query construction.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Discriminative parameter learning for Bayesian networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

Semi-supervised Self-training for Sentence Subjectivity Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence , 2008

2007

Extracting Actionable Knowledge from Decision Trees.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2007

Customized classification learning based on query projections.

[BibT_eX]

[DOI]

Yiqiu Han

Wai Lam

Inf. Sci., 2007

Machine learning for stock selection.

[BibT_eX]

[DOI]

Robert J. Yan

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Partial example acquisition in cost-sensitive learning.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

A Multi-Objective Genetic Algorithm Based on Density.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computation and Intelligence, 2007

Constructing New and Better Evaluation Measures for Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

Roulette Sampling for Cost-Sensitive Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2007, 2007

Cost-Sensitive Decision Trees with Pre-pruning.

[BibT_eX]

[DOI]

Zhihua Cai

Proceedings of the Advances in Artificial Intelligence, 2007

2006

Customized Generalization of Support Patterns for Classification.

[BibT_eX]

[DOI]

Yiqiu Han

Wai Lam

IEEE Trans. Syst. Man Cybern. Part B, 2006

Test-Cost Sensitive Classification on Data with Missing Values.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2006

Learning Contextual Dependency Network Models for Link-Based Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2006

Test Strategies for Cost-Sensitive Decision Trees.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2006

Discovering Classification from Data of Multiple Sources.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2006

IndexToolkit: an open source toolbox to index protein databases for high-throughput proteomics.

[BibT_eX]

[DOI]

Bioinform., 2006

Maximum profit mining and its application in software development.

[BibT_eX]

[DOI]

Tilmann F. W. Bruckhaus

Nazim H. Madhavji

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Feature value acquisition in testing: a sequential batch test algorithm.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Keyphrase Extraction Using Semantic Networks Structure Analysis.

[BibT_eX]

[DOI]

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

Constructing Ensembles for Better Ranking.

[BibT_eX]

[DOI]

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

ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design.

[BibT_eX]

[DOI]

Wenyin Gong

Zhihua Cai

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Thresholding for Making Classifiers Cost-sensitive.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

Cost-Sensitive Test Strategies.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

"Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2005

Using AUC and Accuracy in Evaluating Learning Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2005

Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 2.

[BibT_eX]

[DOI]

William Stafford Noble

IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Guest Editors' Introduction to the Special Issue: Machine Learning for Bioinformatics - Part 1.

[BibT_eX]

[DOI]

William Stafford Noble

IEEE ACM Trans. Comput. Biol. Bioinform., 2005

pFind: a novel database-searching software system for automated peptide and protein identification via tandem mass spectrometry.

[BibT_eX]

[DOI]

Bioinform., 2005

Hybrid Cost-Sensitive Decision Tree.

[BibT_eX]

[DOI]

Shengli Sheng

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

Dynamic Ensemble Re-Construction for Better Ranking.

[BibT_eX]

[DOI]

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

Rank Measures for Ordering.

[BibT_eX]

[DOI]

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

Predicting Software Escalations with Maximum ROI.

[BibT_eX]

[DOI]

Shengli Sheng

Tilmann F. W. Bruckhaus

Nazim H. Madhavji

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Partial Ensemble Classifiers Selection for Better Ranking.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Simple Test Strategies for Cost-Sensitive Decision Trees.

[BibT_eX]

[DOI]

Shengli Sheng

Proceedings of the Machine Learning: ECML 2005, 2005

2004

Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry.

[BibT_eX]

[DOI]

Bioinform., 2004

A Kernel-Based Case Retrieval Algorithm with Application to Bioinformatics.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

A New Method to Construct the Non-Dominated Set in Multi-Objective Genetic Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information Processing II, 2004

Decision trees with minimal costs.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

Test-Cost Sensitive Naive Bayes Classification.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Some discussions about MOGAs: individual relations, non-dominated set, and application on automatic negotiation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

A Multi-objective Genetic Algorithm Based on Quick Sort.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2004

Artificial Aging of Faces by Support Vector Machines.

[BibT_eX]

[DOI]

Jianning Wang

Proceedings of the Advances in Artificial Intelligence, 2004

2003

Cognitive agents and multiagent interaction.

[BibT_eX]

[DOI]

Jean-Luc Koning

Cogn. Syst. Res., 2003

Numeric Mapping and Learnability of Naive Bayes.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2003

Intelligent Protein 3D Structure Retrieval System.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003

AUC: a Statistically Consistent and more Discriminating Measure than Accuracy.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-03, 2003

Decision Tree with Better Ranking.

[BibT_eX]

[DOI]

Robert J. Yan

Proceedings of the Machine Learning, 2003

Postprocessing Decision Trees to Extract Actionable Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy.

[BibT_eX]

[DOI]

Jingjing Lu

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

A Fundamental Issue of Naive Bayes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2003

AUC: A Better Measure than Accuracy in Comparing Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2003

2002

Learning good prototypes for classification using filtering and abstraction of instances.

[BibT_eX]

[DOI]

Wai Lam

Chi-Kin Keung

Pattern Recognit., 2002

The Representational Power of Discrete Bayesian Networks.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2002

Learning Prosodic Patterns for Mandarin Speech Synthesis.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2002

Improving Encarta Search Engine Performance by Mining User Logs.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2002

Editorial Notes.

[BibT_eX]

[DOI]

Nick Cercone

Int. J. Found. Comput. Sci., 2002

Toward Bayesian Classifiers with Accurate Probabilities.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

Representational Upper Bounds of Bayesian Networks.

[BibT_eX]

Proceedings of the Machine Learning, 2002

Mining Optimal Actions for Profitable CRM.

[BibT_eX]

[DOI]

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001

An Improved Learning Algorithm for Augmented Naive Bayes.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery and Data Mining, 2001

Learnability of Augmented Naive Bayes in Nonimal Domains.

[BibT_eX]

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

Mining Generalized Query Patterns from Web Logs.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

Geometric Properties of Naive Bayes in Nominal Domains.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: EMCL 2001, 2001

2000

The Learnability of Naive Bayes.

[BibT_eX]

[DOI]

Zhiduo Zhao

Proceedings of the Advances in Artificial Intelligence, 2000

1998

Computational Cognitive Modeling, the Source of Power, and Other Related Issues.

[BibT_eX]

[DOI]

Ron Sun

AI Mag., 1998

Data Mining for Direct Marketing: Problems and Solutions.

[BibT_eX]

[DOI]

Chenghui Li

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

Grapheme Generation in Learning to Read English Words.

[BibT_eX]

[DOI]

Bei Zhang

Proceedings of the Advances in Artificial Intelligence, 1998

1997

Setting Attribute Weights for Nearest Neighour Learning Algorithms Using C4.5.

[BibT_eX]

[DOI]

John J. Parry

Hangdong Wang

Int. J. Pattern Recognit. Artif. Intell., 1997

Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms.

[BibT_eX]

[DOI]

Hangdong Wang

Artif. Intell. Rev., 1997

Alignment Algorithms for Learning to Read Aloud.

[BibT_eX]

[DOI]

Handong Wang

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

1996

A Decision-Tree Model of Balance Scale Development.

[BibT_eX]

[DOI]

William C. Schmidt

Mach. Learn., 1996

Learning Classifications from Multiple Sources of Unsupervised Data.

[BibT_eX]

[DOI]

Handong Wang

Proceedings of the Advances in Artificial Intelligence, 1996

1995

Overfitting and generalization in learning discrete patterns.

[BibT_eX]

[DOI]

Neurocomputing, 1995

1994

Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist Models.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 1994

A Symbolic Model of the Nonconscious Acquisition of Information.

[BibT_eX]

[DOI]

Marin Marinov

Cogn. Sci., 1994

Learning to Control Dynamic Systems with Automatic Quantization.

[BibT_eX]

[DOI]

Ralph Buchal

Adapt. Behav., 1994

Learning Recursive Relations with Randomly Selected Small Training Sets.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 1994

Inverting Implication with Small Training Sets.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML-94, 1994

1993

A Symbolic Model for Learning the Past-Tenses of English Verbs.

[BibT_eX]

Steven Cherwenka

Marin Marinov

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

Constructive Inductive Logic Programming.

[BibT_eX]

Stephane Lapointe

Stan Matwin

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

1991

Inductive Learning from Good Examples.

[BibT_eX]

[DOI]