Markovitch, Shaul

56 publications

AAAI 2024 A General Search-Based Framework for Generating Textual Counterfactual Explanations Daniel Gilo, Shaul Markovitch

IJCAI 2020 Textual Membership Queries Jonathan Zarecki, Shaul Markovitch

AAAI 2017 Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA Satinder Singh, Shaul Markovitch

IJCAI 2015 Algorithmic Exam Generation Omer Geiger, Shaul Markovitch

NeurIPS 2014 Approximating Hierarchical MV-Sets for Hierarchical Clustering Assaf Glazer, Omer Weissbrod, Michael Lindenbaum, Shaul Markovitch

NeurIPS 2013 Q-OCSVM: A Q-Quantile Estimator for High-Dimensional Distributions Assaf Glazer, Michael Lindenbaum, Shaul Markovitch

AAAI 2012 Concept-Based Approach to Word-Sense Disambiguation Ariel Raviv, Shaul Markovitch

NeurIPS 2012 Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data Assaf Glazer, Michael Lindenbaum, Shaul Markovitch

ECCV 2012 Learning Implicit Transfer for Person Re-Identification Tamar Avraham, Ilya Gurvich, Michael Lindenbaum, Shaul Markovitch

ECCVW 2012 Learning Implicit Transfer for Person Re-Identification Tamar Avraham, Ilya Gurvich, Michael Lindenbaum, Shaul Markovitch

JAIR 2012 Learning to Predict from Textual Data Kira Radinsky, Sagie Davidovich, Shaul Markovitch

JAIR 2012 Online Speedup Learning for Optimal Planning Carmel Domshlak, Erez Karpas, Shaul Markovitch

AAAI 2012 Teaching Machines to Learn by Metaphors Omer Levy, Shaul Markovitch

MLJ 2011 Anytime Learning of Anycost Classifiers Saher Esmeir, Shaul Markovitch

IJCAI 2011 Max-Prob: An Unbiased Rational Decision Making Procedure for Multiple-Adversary Environments Anat Hashavit, Shaul Markovitch

AAAI 2010 To Max or Not to Max: Online Learning for Speeding up Optimal Planning Carmel Domshlak, Erez Karpas, Shaul Markovitch

JAIR 2009 Wikipedia-Based Semantic Interpretation for Natural Language Processing Evgeniy Gabrilovich, Shaul Markovitch

JAIR 2008 Anytime Induction of Low-Cost, Low-Error Classifiers: A Sampling-Based Approach Saher Esmeir, Shaul Markovitch

AAAI 2008 Concept-Based Feature Generation and Selection for Information Retrieval Ofer Egozi, Evgeniy Gabrilovich, Shaul Markovitch

NeurIPS 2007 Anytime Induction of Cost-Sensitive Trees Saher Esmeir, Shaul Markovitch

JMLR 2007 Anytime Learning of Decision Trees Saher Esmeir, Shaul Markovitch

IJCAI 2007 Computing Semantic Relatedness Using Wikipedia-Based Explicit Semantic Analysis Evgeniy Gabrilovich, Shaul Markovitch

JMLR 2007 Harnessing the Expertise of 70,000 Human Editors: Knowledge-Based Feature Generation for Text Categorization Evgeniy Gabrilovich, Shaul Markovitch

IJCAI 2007 Occam's Razor Just Got Sharper Saher Esmeir, Shaul Markovitch

AAAI 2006 Active Learning with near Misses Nela Gurevich, Shaul Markovitch, Ehud Rivlin

AAAI 2006 Anytime Induction of Decision Trees: An Iterative Improvement Approach Saher Esmeir, Shaul Markovitch

MLJ 2006 Learning to Bid in Bridge Asaf Amit, Shaul Markovitch

JAIR 2006 Multiple-Goal Heuristic Search Dmitry Davidov, Shaul Markovitch

AAAI 2006 Overcoming the Brittleness Bottleneck Using Wikipedia: Enhancing Text Categorization with Encyclopedic Knowledge Evgeniy Gabrilovich, Shaul Markovitch

AAAI 2006 When a Decision Tree Learner Has Plenty of Time Saher Esmeir, Shaul Markovitch

IJCAI 2005 Feature Generation for Text Categorization Using World Knowledge Evgeniy Gabrilovich, Shaul Markovitch

IJCAI 2005 The COMPSET Algorithm for Subset Selection Yaniv Hamo, Shaul Markovitch

ICML 2004 Lookahead-Based Algorithms for Anytime Induction of Decision Trees Saher Esmeir, Shaul Markovitch

MLJ 2004 Selective Sampling for Nearest Neighbor Classifiers Michael Lindenbaum, Shaul Markovitch, Dmitry Rusakov

ICML 2004 Text Categorization with Many Redundant Features: Using Aggressive Feature Selection to Make SVMs Competitive with C4.5 Evgeniy Gabrilovich, Shaul Markovitch

JAIR 2003 Learning to Order BDD Variables in Verification Orna Grumberg, Shlomi Livne, Shaul Markovitch

JAIR 2003 Optimal Schedules for Parallelizing Anytime Algorithms: The Case of Shared Resources Lev Finkelstein, Shaul Markovitch, Ehud Rivlin

JMLR 2003 Speedup Learning for Repair-Based Search by Identifying Redundant Steps Shaul Markovitch, Asaf Shatil

MLJ 2002 Feature Generation Using General Constructor Functions Shaul Markovitch, Dan Rosenstein

AAAI 2002 Multiple-Goal Search Algorithms and Their Application to Web Crawling Dmitry Davidov, Shaul Markovitch

AAAI 2002 Optimal Schedules for Parallelizing Anytime Algorithms: The Case of Independent Processes Lev Finkelstein, Shaul Markovitch, Ehud Rivlin

AAAI 1999 Selective Sampling for Nearest Neighbor Classifiers Michael Lindenbaum, Shaul Markovitch, Dmitry Rusakov

JAIR 1998 A Selective Macro-Learning Algorithm and Its Application to the NxN Sliding-Tile Puzzle Lev Finkelstein, Shaul Markovitch

AAAI 1998 Learning Investment Functions for Controlling the Utility of Control Knowledge Oleg Ledeniov, Shaul Markovitch

JAIR 1998 The Divide-and-Conquer Subgoal-Ordering Algorithm for Speeding up Logic Inference Oleg Ledeniov, Shaul Markovitch

IJCAI 1997 Exploration and Adaptation in Multiagent Systems: A Model-Based Approach David Carmel, Shaul Markovitch

AAAI 1996 Incorporating Opponent Models into Adversary Search David Carmel, Shaul Markovitch

AAAI 1996 Learning Models of Intelligent Agents David Carmel, Shaul Markovitch

MLJ 1993 Experience Selection and Problem Choice in an Exploratory Learning System Paul D. Scott, Shaul Markovitch

MLJ 1993 Information Filtering: Selection Mechanisms in Learning Systems Shaul Markovitch, Paul D. Scott

IJCAI 1993 Learning of Resource Allocation Strategies for Game Playing Shaul Markovitch, Yaron Sella

ICML 1989 Information Filters and Their Implementation in the SYLLOG System Shaul Markovitch, Paul D. Scott

IJCAI 1989 Learning Novel Domains Through Curiosity and Conjecture Paul D. Scott, Shaul Markovitch

ICML 1989 Uncertainty Based Selection of Learning Experiences Paul D. Scott, Shaul Markovitch

IJCAI 1989 Utilization Filtering: A Method for Reducing the Inherent Harmfulness of Deductively Learned Knowledge Shaul Markovitch, Paul D. Scott

ICML 1988 The Role of Forgetting in Learning Shaul Markovitch, Paul D. Scott