Charles Elkan

According to our database1, Charles Elkan authored at least 95 papers between 1988 and 2018.

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Bibliography

2018
Achieving Fluency and Coherency in Task-oriented Dialog.
CoRR, 2018

What we need to learn if we want to do and not just talk.
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.
CoRR, 2017

Predicting Surgery Duration with Neural Heteroscedastic Regression.
CoRR, 2017

Visualizing the Consequences of Evidence in Bayesian Networks.
CoRR, 2017

Predicting Surgery Duration with Neural Heteroscedastic Regression.
Proceedings of the Machine Learning for Health Care, 2017

2015
Learning to Diagnose with LSTM Recurrent Neural Networks.
CoRR, 2015

Efficient Elastic Net Regularization for Sparse Linear Models.
CoRR, 2015

Theory versus practice in data science.
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

2014
F1-Optimal Thresholding in the Multi-Label Setting.
CoRR, 2014

Differential Privacy and Machine Learning: a Survey and Review.
CoRR, 2014

Learning to Re-rank for Interactive Problem Resolution and Query Refinement.
Proceedings of the SIGDIAL 2014 Conference, 2014

Optimal Thresholding of Classifiers to Maximize F1 Measure.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Nowcasting with Numerous Candidate Predictors.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013
Beam search algorithms for multilabel learning.
Machine Learning, 2013

Differential privacy based on importance weighting.
Machine Learning, 2013

Nonlinear support vector machines can systematically identify stocks with high and low future returns.
Algorithmic Finance, 2013

2012
Guest Editorial for Special Issue KDD'10.
TKDD, 2012

Inhibition in Multiclass Classification.
Neural Computation, 2012

Predicting accurate probabilities with a ranking loss
CoRR, 2012

Policy Iteration Based on a Learned Transition Model.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Learning and Inference in Probabilistic Classifier Chains with Beam Search.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Predicting accurate probabilities with a ranking loss.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Fast Algorithms for Approximating the Singular Value Decomposition.
TKDD, 2011

A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data.
IEEE Trans. Geoscience and Remote Sensing, 2011

Identifying Relevant Data for a Biological Database: Handcrafted Rules versus Machine Learning.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011

The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text.
BMC Bioinformatics, 2011

Link Prediction via Matrix Factorization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Reinforcement Learning with a Bilinear Q Function.
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

2010
Latent semantic indexing (LSI) fails for TREC collections.
SIGKDD Explorations, 2010

Quadratic Programming Feature Selection.
Journal of Machine Learning Research, 2010

Predicting labels for dyadic data.
Data Min. Knowl. Discov., 2010

Dyadic Prediction Using a Latent Feature Log-Linear Model
CoRR, 2010

Technical perspective - Creativity helps influence prediction precision.
Commun. ACM, 2010

Learning gene regulatory networks from only positive and unlabeled data.
BMC Bioinformatics, 2010

Preserving Privacy in Data Mining via Importance Weighting.
Proceedings of the Privacy and Security Issues in Data Mining and Machine Learning, 2010

A Log-Linear Model with Latent Features for Dyadic Prediction.
Proceedings of the ICDM 2010, 2010

Conditional Random Fields for Word Hyphenation.
Proceedings of the ACL 2010, 2010

2009
The Transporter Classification Database: recent advances.
Nucleic Acids Research, 2009

Accounting for burstiness in topic models.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Learning classifiers from only positive and unlabeled data.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Learning a two-stage SVM/CRF sequence classifier.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Learning to Find Relevant Biological Articles without Negative Training Examples.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007
KDD Cup and workshop 2007.
SIGKDD Explorations, 2007

Finding Transport Proteins in a General Protein Database.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Making generative classifiers robust to selection bias.
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.
Proceedings of the Machine Learning, 2006

2005
Fast Recognition of Musical Genres Using RBF Networks.
IEEE Trans. Knowl. Data Eng., 2005

Deriving TF-IDF as a Fisher Kernel.
Proceedings of the String Processing and Information Retrieval, 2005

Modeling word burstiness using the Dirichlet distribution.
Proceedings of the Machine Learning, 2005

2004
Sources of Success for Boosted Wrapper Induction.
Journal of Machine Learning Research, 2004

A Bayesian network framework for reject inference.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Learning the k in k-means.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Principled Methods for Advising Reinforcement Learning Agents.
Proceedings of the Machine Learning, 2003

Using the Triangle Inequality to Accelerate k-Means.
Proceedings of the Machine Learning, 2003

Learning Rules to Improve a Machine Translation System.
Proceedings of the Machine Learning: ECML 2003, 2003

2002
Improved disk-drive failure warnings.
IEEE Trans. Reliability, 2002

Transforming classifier scores into accurate multiclass probability estimates.
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.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001
Paradoxes of fuzzy logic, revisited.
Int. J. Approx. Reasoning, 2001

Learning and making decisions when costs and probabilities are both unknown.
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).
BIOKDD, 2001

Magical thinking in data mining: lessons from CoIL challenge 2000.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

The Foundations of Cost-Sensitive Learning.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers.
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.
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.
SIGKDD Explorations, 2000

KDD'99 Knowledge Discovery Contest.
SIGKDD Explorations, 2000

Results of the KDD'99 Classifier Learning.
SIGKDD Explorations, 2000

1999
MEME, MAST, and Meta-MEME: New Tools for Motif Discovery in Protein Sequences.
Pattern Discovery in Biomolecular Data, 1999

1997
Meta-MEME: motif-based hidden Markov models of protein families.
Computer Applications in the Biosciences, 1997

An Efficient Domain-Independent Algorithm for Detecting Approximately Duplicate Database Records.
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.
Computer Applications in the Biosciences, 1996

Exploratory Analysis of Speedup Learning Data Using Epectation Maximization.
Artif. Intell., 1996

The Field Matching Problem: Algorithms and Applications.
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.
Proceedings of the Advances in Artificial Intelligence, 1996

LPMEME: A Statistical Method for Inductive Logic Programming.
Proceedings of the Advances in Artificial Intelligence, 1996

1995
Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization.
Machine Learning, 1995

The Value of Prior Knowledge in Discovering Motifs with MEME.
Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, 1995

1994
Elkan's Reply: The Paradoxical Controversy over Fuzzy Logic.
IEEE Expert, 1994

The Paradoxical Success of Fuzzy Logic.
IEEE Expert, 1994

A High-Performance Explanation-Based Learning Algorithm.
Artif. Intell., 1994

Fitting a Mixture Model By Expectation Maximization To Discover Motifs In Biopolymer.
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.
Artif. Intell., 1993

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

The Paradoxical Success of Fuzzy Logic.
Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993

1991
A Critical Look at Experimental Evaluations of EBL.
Machine Learning, 1991

Measuring and Improving the Effectiveness of Representations.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1990
A Rational Reconstruction of Nonmonotonic Truth Maintenance Systems.
Artif. Intell., 1990

Independence of Logic Database Queries and Updates.
Proceedings of the Ninth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1990

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

1989
A Decision Procedure for Conjunctive Query Disjointness.
Proceedings of the Eighth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1989

Logical Characterizations of Nonmonotonic TMSs.
Proceedings of the Mathematical Foundations of Computer Science 1989, 1989

Conspiracy Numbers and Caching for Searching And/Or Trees and Theorem-Proving.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

1988
Automated Inductive Reasoning about Logic Programs.
Proceedings of the Logic Programming, 1988


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