Provost, Foster J.

22 publications

MLJ 2021 Node Classification over Bipartite Graphs Through Projection Marija Stankova, Stiene Praet, David Martens, Foster J. Provost

MLJ 2020 In Memory of Tom Fawcett Foster J. Provost

MLJ 2018 Wallenius Bayes Enric Junqué de Fortuny, David Martens, Foster J. Provost

MLJ 2014 Machine Learning for Targeted Display Advertising: Transfer Learning in Action Claudia Perlich, Brian Dalessandro, Troy Raeder, Ori Stitelman, Foster J. Provost

ECML-PKDD 2010 A Unified Approach to Active Dual Supervision for Labeling Features and Examples Josh Attenberg, Prem Melville, Foster J. Provost

ICML 2006 A Brief Survey of Machine Learning Methods for Classification in Networked Data and an Application to Suspicion Scoring Sofus Attila Macskassy, Foster J. Provost

MLJ 2006 Distribution-Based Aggregation for Relational Learning with Identifier Attributes Claudia Perlich, Foster J. Provost

ICML 2005 ROC Confidence Bands: An Empirical Evaluation Sofus A. Macskassy, Foster J. Provost, Saharon Rosset

MLJ 2004 Active Sampling for Class Probability Estimation and Ranking Maytal Saar-Tsechansky, Foster J. Provost

JAIR 2003 Learning When Training Data Are Costly: The Effect of Class Distribution on Tree Induction Gary M. Weiss, Foster J. Provost

MLJ 2003 Tree Induction for Probability-Based Ranking Foster J. Provost, Pedro M. Domingos

IJCAI 2001 Active Learning for Class Probability Estimation and Ranking Maytal Saar-Tsechansky, Foster J. Provost

MLJ 2001 Robust Classification for Imprecise Environments Foster J. Provost, Tom Fawcett

MLJ 1998 Guest Editors' Introduction: On Applied Research in Machine Learning Foster J. Provost, Ron Kohavi

AAAI 1998 Robust Classification Systems for Imprecise Environments Foster J. Provost, Tom Fawcett

ICML 1998 The Case Against Accuracy Estimation for Comparing Induction Algorithms Foster J. Provost, Tom Fawcett, Ron Kohavi

MLJ 1996 Scaling up Inductive Learning with Massive Parallelism Foster J. Provost, John M. Aronis

AAAI 1996 Scaling up: Distributed Machine Learning with Cooperation Foster J. Provost, Daniel N. Hennessy

MLJ 1995 Inductive Policy: The Pragmatics of Bias Selection Foster J. Provost, Bruce G. Buchanan

AAAI 1993 Iterative Weakening: Optimal and Near-Optimal Policies for the Selection of Search Bias Foster J. Provost

ICML 1993 Small Disjuncts in Action: Learning to Diagnose Errors in the Local Loop of the Telephone Network Andrea Pohoreckyj Danyluk, Foster J. Provost

AAAI 1992 Inductive Policy Foster J. Provost, Bruce G. Buchanan