- Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis
- Semantic Inference at the Lexical-Syntactic Level for Textual Entailment Recognition
- Towards IDE Support for Abstract Thinking Oren Mishali
- 2 0 0 7 , 2 ' www.cs.technion.ac.il/magazine magazine@cs.technion.ac.il
- 2 0 0 6 , 1 ' www.cs.technion.ac.il/magazine 30 , 50 : .
- Israel A. Wagner IBM Haifa Research Laboratory
- FEATURE GENERATION FOR TEXTUAL INFORMATION
- Micro Patterns in Java Code Joseph (Yossi) Gil
- Journal of Artificial Intelligence Research 26 (2006) 417-451 Submitted 11/05; published 08/06 Multiple-Goal Heuristic Search
- Selective Sampling for Nearest Neighbor Classifiers Michael Lindenbaum
- Code Structures in Java Publications
- 2 0 1 0 ,7 ' www.cs.technion.ac.il/magazine
- Learning to Bid in Bridge Asaf Amit asaf@cs.technion.ac.il
- JTL the Java Tools Language Tal Cohen Joseph (Yossi) Gil
- HoPL: The History OfHoPL: The History Of Programming LanguagesProgramming Languages
- Multi-Valued Abstraction and Compositional Model
- --to appear in CEC'99 --Hamiltonian(t) -
- Optimized Overlay Metrology Marks: Theory and Experiment
- BAR-ILAN UNIVERSITY (R.A.) Center for IT Infrastructure & IS
- JTL and the Annoying Subtleties of Precise -Pattern Definitions Tal Cohen Joseph (Yossi) Gil Itay Maman
- ELECTROMIGRATION-DEPENDENT PARAMETRIC YIELD ESTIMATION Roman Barsky
- BOUNDED MODEL-CHECKING FOR BRANCHING-TIME LOGIC
- FAST ACTIVE OBJECT TRACKING IN COLOR VIDEO Roman Goldenberg, Ron Kimmel, Ehud Rivlin, and Michael Rudzsky
- Memory Efficient AllSolutions SAT Solver and its Application for Reachability Analysis
- Combining Symmetry Reduction and UnderApproximation for Symbolic Model
- Distributed Symbolic Model Checking Tamir Heyman
- Enhanced Vacuity Detection in Linear Temporal Logic
- A RealTime System for Classification of Moving Objects E. Rivlin, M. Rudzsky, R. Goldenberg, U. Bogomolov, S. Lapchev
- EquivalenceBased Reductions and checking for Research Thesis
- Theory and Practice of Incremental Subtyping Tests and Message Dispatching
- Cortex Segmentation A Fast Variational Geometric Approach Roman Goldenberg, Ron Kimmel, Ehud Rivlin, Michael Rudzsky
- A GameBased Framework for CTL Counterexamples and
- N000149510521 Estimating Relative Vehicle Motions
- A variational approach for gray matter segmentation using coupled surfaces
- Exploiting Syntactic Structure for Automatic Verification
- Journal of Arti cial Intelligence Research 9 1998 37-97 Submitted 2 98; published 9 98 The Divide-and-Conquer Subgoal-Ordering Algorithm
- , , 130 () c Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
- Lookahead-based Algorithms for Anytime Induction of Decision Trees
- Shaul Markovitch and Yaron Sella Computer Science Department, Technion, Haifa 32000, Israel
- Multiple-goal Search Algorithms and their Application to Web Crawling Dmitry Davidov and Shaul Markovitch
- Model-based Learning of Interaction Strategies in Multi-agent Systems
- Exploration and Adaptation in Multiagent Systems: A Model-based David Carmel and Shaul Markovitch
- Machine Learning, 12, 49-67 (1993) 1993 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
- [Appeared in the Proceedings of The North American Conference on Logic Programming . Cleveland, Ohio: MIT Press. (1989)]
- Derivative Evaluation Function Learning Using Genetic Operators
- Applications of Macro Learning to Path Shaul Markovitch
- Overcoming the Brittleness Bottleneck using Wikipedia: Enhancing Text Categorization with Encyclopedic Knowledge
- The COMPSET Algorithm for Subset Selection Yaniv Hamo and Shaul Markovitch
- UNCERTAINTY BASED SELECTION OF LEARNING EXPERIENCES
- Learning Novel Domains Through Curiosity and Conjecture Paul D. Scott & Shaul Markovitch
- Concept-Based Feature Generation and Selection for Information Retrieval Ofer Egozi and Evgeniy Gabrilovich
- Occam's Razor Just Got Sharper Saher Esmeir and Shaul Markovitch
- Anytime Induction of Decision Trees: an Iterative Improvement Approach Saher Esmeir and Shaul Markovitch
- Active Learning with Near Misses Nela Gurevich and Shaul Markovitch and Ehud Rivlin
- Interruptible Anytime Algorithms for Iterative Improvement of Decision Trees
- Learning and Exploiting Relative Weaknesses of Opponent Shaul Markovitch (shaulm@cs.technion.ac.il) and Ronit Reger
- Text Categorization with Many Redundant Features: Using Aggressive Feature Selection to Make SVMs Competitive with C4.5
- Optimal Schedules for Parallelizing Anytime Algorithms: The Case of Independent Processes
- Feature Generation Using General Constructor Functions Shaul Markovitch and Dan Rosenstein
- Optimal Schedules for Parallelizing Anytime Algorithms Lev Finkelstein and Shaul Markovitch and Ehud Rivlin
- Optimal Schedules for Monitoring Anytime Algorithms Lev Finkelstein and Shaul Markovitch
- Exploration Strategies for Model-based Learning in Multi-agent Systems
- Learning Investment Functions for Controlling The Utility of Control Oleg Ledeniov and Shaul Markovitch
- Learning Models of Intelligent Agents David Carmel and Shaul Markovitch
- Opponent Modeling in Multi-agent Systems David Carmel and Shaul Markovitch
- Machine Learning, 10, 113-151 (1993) 1993 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
- Representation Generation in an Exploratory Learning System
- INFORMATION FILTERS AND THEIR IMPLEMENTATION IN THE SYLLOG SYSTEM
- INFORMATION FILTERING: SELECTION MECHANISMS IN LEARNING SYSTEMS
- [Apeared in Proceedings of The Fifth International Conference on Machine Learning . Ann Arbor, MI: Morgan Kaufmann. (1988).]
- Anytime Induction of Cost-sensitive Trees Saher Esmeir
- Learning of Resource Allocation Strategies for Game Playing Shaul Markovitch and Yaron Sella
- Journal of Artificial Intelligence Research 19 (2003) 73-138 Submitted 12/02; published 8/03 Optimal Schedules for Parallelizing Anytime Algorithms
- Utilization Filtering : a method for reducing the inherent harmfulness of deductively learned knowledge
- Utilization Filtering of Macros Based on Goal Similarity Uri Keidar, Shaul Markovitch & Erez Webman
- Journal of Machine Learning Research 4 (2003) 649682 Submitted 12/01; Revised 11/02; Published 9/03 Speedup Learning for Repair-based Search
- Feature Generation for Text Categorization Using World Knowledge Evgeniy Gabrilovich and Shaul Markovitch
- Using Filters to Improve the Efficiency of Game-playing Learning Procedures
- Self-consistent Batch-Classification Shaul Markovitch and Oren Shnitzer
- When a Decision Tree Learner Has Plenty of Time Saher Esmeir and Shaul Markovitch
- Journal of Artificial Intelligence Research 18 (2003) 83-116 Submitted 07/02; published 1/03 Learning to Order BDD Variables in Verification
- How to Explore Your Opponent's Strategy (almost) Optimally
- Parameterized Generation of Labeled Datasets for Text Categorization Based on a Hierarchical Directory
- Systematic Experimentation with Deductive Learning: Satisficing vs. Optimizing search
- A Word at a Time: Computing Word Relatedness using Temporal Semantic Analysis
- When Optimal Is Just Not Good Enough: Learning Fast Informative Action Cost Partitionings
- Predicting the News of Tomorrow Using Patterns in Web Search Queries Kira Radinsky, Sagie Davidovich and Shaul Markovitch
- Learning Causality from Textual Data Kira Radinsky
- Mach Learn (2011) 82: 445473 DOI 10.1007/s10994-010-5228-1
- Concept-Based Information Retrieval Using Explicit Semantic Analysis
- Learning to Combine Admissible Heuristics Under Bounded Time Carmel Domshlak and Erez Karpas
