Charles Elkan

Dimitris S. Papailiopoulos

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2019

SysML: The New Frontier of Machine Learning Systems.

[BibT_eX]

[DOI]

Alexandros G. Dimakis

Anastasios Kyrillidis

Shivaram Venkataraman

CoRR, 2019

A Modified Logistic Regression for Positive and Unlabeled Learning.

[BibT_eX]

[DOI]

Kristen Jaskie

Andreas Spanias

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Achieving Fluency and Coherency in Task-oriented Dialog.

[BibT_eX]

[DOI]

Rashmi Gangadharaiah

CoRR, 2018

What we need to learn if we want to do and not just talk.

[BibT_eX]

[DOI]

Rashmi Gangadharaiah

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient.

[BibT_eX]

[DOI]

CoRR, 2017

Visualizing the Consequences of Evidence in Bayesian Networks.

[BibT_eX]

[DOI]

Clifford Champion

CoRR, 2017

Predicting Surgery Duration with Neural Heteroscedastic Regression.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Health Care Conference, 2017

2016

Learning to Diagnose with LSTM Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Learning Representations, 2016

2015

Efficient Elastic Net Regularization for Sparse Linear Models.

[BibT_eX]

[DOI]

CoRR, 2015

Theory versus practice in data science.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

Probabilistic Modeling of a Sales Funnel to Prioritize Leads.

[BibT_eX]

[DOI]

Brendan Andrew Duncan

Charles Peter Elkan

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

F1-Optimal Thresholding in the Multi-Label Setting.

[BibT_eX]

[DOI]

CoRR, 2014

Differential Privacy and Machine Learning: a Survey and Review.

[BibT_eX]

[DOI]

Zhanglong Ji

CoRR, 2014

Learning to Re-rank for Interactive Problem Resolution and Query Refinement.

[BibT_eX]

[DOI]

Rashmi Gangadharaiah

Proceedings of the SIGDIAL 2014 Conference, 2014

Optimal Thresholding of Classifiers to Maximize F1 Measure.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Nowcasting with Numerous Candidate Predictors.

[BibT_eX]

[DOI]

Brendan Andrew Duncan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013

Beam search algorithms for multilabel learning.

[BibT_eX]

[DOI]

Mach. Learn., 2013

Differential privacy based on importance weighting.

[BibT_eX]

[DOI]

Zhanglong Ji

Mach. Learn., 2013

Nonlinear support vector machines can systematically identify stocks with high and low future returns.

[BibT_eX]

[DOI]

Ramón Huerta

Fernando J. Corbacho

Algorithmic Finance, 2013

2012

Guest Editorial for Special Issue KDD'10.

[BibT_eX]

[DOI]

Yehuda Koren

ACM Trans. Knowl. Discov. Data, 2012

Inhibition in Multiclass Classification.

[BibT_eX]

[DOI]

Neural Comput., 2012

Policy Iteration Based on a Learned Transition Model.

[BibT_eX]

[DOI]

Vivek Ramavajjala

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Learning and Inference in Probabilistic Classifier Chains with Beam Search.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Predicting accurate probabilities with a ranking loss.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Fast Algorithms for Approximating the Singular Value Decomposition.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2011

A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data.

[BibT_eX]

[DOI]

Wenkai Li

Qinghua Guo

IEEE Trans. Geosci. Remote. Sens., 2011

Identifying Relevant Data for a Biological Database: Handcrafted Rules versus Machine Learning.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text.

[BibT_eX]

[DOI]

BMC Bioinform., 2011

Link Prediction via Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Reinforcement Learning with a Bilinear Q Function.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

2010

Latent semantic indexing (LSI) fails for TREC collections.

[BibT_eX]

[DOI]

Avinash Atreya

SIGKDD Explor., 2010

Quadratic Programming Feature Selection.

[BibT_eX]

[DOI]

Irene Rodríguez-Luján

Ramón Huerta

Carlos Santa Cruz

J. Mach. Learn. Res., 2010

Predicting labels for dyadic data.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2010

Dyadic Prediction Using a Latent Feature Log-Linear Model

[BibT_eX]

[DOI]

CoRR, 2010

Technical perspective - Creativity helps influence prediction precision.

[BibT_eX]

[DOI]

Padhraic Smyth

Commun. ACM, 2010

Learning gene regulatory networks from only positive and unlabeled data.

[BibT_eX]

[DOI]

Luigi Cerulo

Michele Ceccarelli

BMC Bioinform., 2010

Preserving Privacy in Data Mining via Importance Weighting.

[BibT_eX]

[DOI]

Proceedings of the Privacy and Security Issues in Data Mining and Machine Learning, 2010

A Log-Linear Model with Latent Features for Dyadic Prediction.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

Conditional Random Fields for Word Hyphenation.

[BibT_eX]

[DOI]

Nikolaos Trogkanis

Proceedings of the ACL 2010, 2010

2009

The Transporter Classification Database: recent advances.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2009

Accounting for burstiness in topic models.

[BibT_eX]

[DOI]

Gabriel Doyle

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

2008

Learning classifiers from only positive and unlabeled data.

[BibT_eX]

[DOI]

Keith Noto

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

Learning a two-stage SVM/CRF sequence classifier.

[BibT_eX]

[DOI]

Guilherme Hoefel

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

Learning to Find Relevant Biological Articles without Negative Training Examples.

[BibT_eX]

[DOI]

Keith Noto

Milton H. Saier Jr.

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007

KDD Cup and workshop 2007.

[BibT_eX]

[DOI]

SIGKDD Explor., 2007

Finding Transport Proteins in a General Protein Database.

[BibT_eX]

[DOI]

Sanmay Das

Milton H. Saier Jr.

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

Making generative classifiers robust to selection bias.

[BibT_eX]

[DOI]

Andrew T. Smith

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

2006

Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

2005

Fast Recognition of Musical Genres Using RBF Networks.

[BibT_eX]

[DOI]

Douglas Turnbull

IEEE Trans. Knowl. Data Eng., 2005

Deriving TF-IDF as a Fisher Kernel.

[BibT_eX]

[DOI]

Proceedings of the String Processing and Information Retrieval, 2005

Modeling word burstiness using the Dirichlet distribution.

[BibT_eX]

[DOI]

Rasmus Elsborg Madsen

David Kauchak

Proceedings of the Machine Learning, 2005

2004

Sources of Success for Boosted Wrapper Induction.

[BibT_eX]

[DOI]

David Kauchak

Joseph Smarr

J. Mach. Learn. Res., 2004

A Bayesian network framework for reject inference.

[BibT_eX]

[DOI]

Andrew T. Smith

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

2003

Learning the k in k-means.

[BibT_eX]

[DOI]

Greg Hamerly

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

Principled Methods for Advising Reinforcement Learning Agents.

[BibT_eX]

[DOI]

Eric Wiewiora

Garrison W. Cottrell

Proceedings of the Machine Learning, 2003

Using the Triangle Inequality to Accelerate k-Means.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2003

Learning Rules to Improve a Machine Translation System.

[BibT_eX]

[DOI]

David Kauchak

Proceedings of the Machine Learning: ECML 2003, 2003

2002

Improved disk-drive failure warnings.

[BibT_eX]

[DOI]

Gordon F. Hughes

Joseph F. Murray

Kenneth Kreutz-Delgado

IEEE Trans. Reliab., 2002

Transforming classifier scores into accurate multiclass probability estimates.

[BibT_eX]

[DOI]

Bianca Zadrozny

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

Alternatives to the k-means algorithm that find better clusterings.

[BibT_eX]

[DOI]

Greg Hamerly

Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001

Paradoxes of fuzzy logic, revisited.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2001

Learning and making decisions when costs and probabilities are both unknown.

[BibT_eX]

[DOI]

Bianca Zadrozny

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

Shared challenges in data mining and computational biology (abstract of invited talk).

[BibT_eX]

[DOI]

Proceedings of the ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2001), 2001

Magical thinking in data mining: lessons from CoIL challenge 2000.

[BibT_eX]

[DOI]

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

The Foundations of Cost-Sensitive Learning.

[BibT_eX]

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

Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers.

[BibT_eX]

Bianca Zadrozny

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

Bayesian approaches to failure prediction for disk drives.

[BibT_eX]

Greg Hamerly

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

2000

Scalability for Clustering Algorithms Revisited.

[BibT_eX]

[DOI]

Fredrik Farnstrom

James Lewis

SIGKDD Explor., 2000

KDD'99 Knowledge Discovery Contest.

[BibT_eX]

SIGKDD Explor., 2000

Results of the KDD'99 Classifier Learning.

[BibT_eX]

[DOI]

SIGKDD Explor., 2000

1999

MEME, MAST, and Meta-MEME: New Tools for Motif Discovery in Protein Sequences.

[BibT_eX]

Proceedings of the Pattern Discovery in Biomolecular Data: Tools, 1999

1997

Meta-MEME: motif-based hidden Markov models of protein families.

[BibT_eX]

[DOI]

Comput. Appl. Biosci., 1997

An Efficient Domain-Independent Algorithm for Detecting Approximately Duplicate Database Records.

[BibT_eX]

Alvaro E. Monge

Proceedings of the Workshop on Research Issues on Data Mining and Knowledge Discovery, 1997

1996

ParaMEME: a parallel implementation and a web interface for a DNA and protein motif discovery tool.

[BibT_eX]

[DOI]

William Noble Grundy

Comput. Appl. Biosci., 1996

Exploratory Analysis of Speedup Learning Data Using Epectation Maximization.

[BibT_eX]

[DOI]

Alberto Maria Segre

Geoffrey J. Gordon

Artif. Intell., 1996

The Field Matching Problem: Algorithms and Applications.

[BibT_eX]

[DOI]

Alvaro E. Monge

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

Reasoning about Unknown, Counterfactual, and Nondeterministic Actions in First-Order Logic.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 1996

LPMEME: A Statistical Method for Inductive Logic Programming.

[BibT_eX]

[DOI]

Karan Bhatia

Proceedings of the Advances in Artificial Intelligence, 1996

1995

Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization.

[BibT_eX]

[DOI]

Mach. Learn., 1995

The Value of Prior Knowledge in Discovering Motifs with MEME.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, 1995

1994

Elkan's Reply: The Paradoxical Controversy over Fuzzy Logic.

[BibT_eX]

[DOI]

IEEE Expert, 1994

The Paradoxical Success of Fuzzy Logic.

[BibT_eX]

[DOI]

IEEE Expert, 1994

A High-Performance Explanation-Based Learning Algorithm.

[BibT_eX]

[DOI]

Alberto M. Segre

Artif. Intell., 1994

Fitting a Mixture Model By Expectation Maximization To Discover Motifs In Biopolymer.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, 1994

1993

D. B. Lenat and R. V. Guha, Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project.

[BibT_eX]

[DOI]

Russell Greiner

Artif. Intell., 1993

Estimating the Accuracy of Learned Concepts.

[BibT_eX]

[DOI]

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

1991

A Critical Look at Experimental Evaluations of EBL.

[BibT_eX]

[DOI]

Alberto M. Segre

Alexander Russell

Mach. Learn., 1991

Measuring and Improving the Effectiveness of Representations.

[BibT_eX]

[DOI]

Russell Greiner

Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1990

Automated Inductive Reasoning about Logic Programs.

[BibT_eX]

PhD thesis, 1990

A Rational Reconstruction of Nonmonotonic Truth Maintenance Systems.

[BibT_eX]

[DOI]

Artif. Intell., 1990

Independence of Logic Database Queries and Updates.

[BibT_eX]

[DOI]

Proceedings of the Ninth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1990

Incremental, Approximate Planning.

[BibT_eX]

[DOI]

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

1989

A Decision Procedure for Conjunctive Query Disjointness.

[BibT_eX]

[DOI]

Proceedings of the Eighth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1989

Logical Characterizations of Nonmonotonic TMSs.

[BibT_eX]

[DOI]

Proceedings of the Mathematical Foundations of Computer Science 1989, 1989

Conspiracy Numbers and Caching for Searching And/Or Trees and Theorem-Proving.

[BibT_eX]

[DOI]

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

1988

Automated Inductive Reasoning about Logic Programs.

[BibT_eX]