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close this section of the library Mansour, Yishay
View the document Mansour, Yishay (Yishay Mansour and Mariano Schain) -- Learning with Maximum-Entropy Distributions - 2001
View the document Mansour, Yishay (Michael Kearns and Yishay Mansour) -- A fast, bottom-up decision tree pruning algorithm with near-optimal generalization - 1998
View the document Mansour, Yishay (Yishay Mansour and David McAllester) -- Generalization Bounds for Decision Trees - 2000
View the document Mansour, Yishay (Yishay Mansour and Mariano Schain) -- Learning with Maximum-Entropy Distributions - 1997
View the document Mansour, Yishay (Yishay Mansour and Sigal Sahar) -- Implementation Issues in the Fourier Transform Algorithm - 2000
View the document Mansour, Yishay (Yishay Mansour and David McAllester) -- Boosting Using Branching Programs - 2000
View the document Mansour, Yishay (Nader H. Bshouty and Yishay Mansour) -- Simple learning algorithms for decision trees and multivariate polynomials - 1995
View the document Mansour, Yishay (Shai Ben-David, Eyal Kushilevitz and Yishay Mansour) -- Online learning versus offline learning - 1997
View the document Mansour, Yishay (Yishay Mansour) -- An O(nloglog n) learning algorithm for DNF under the uniform distribution - 1995
View the document Mansour, Yishay (Yoav Freund and Yishay Mansour) -- Learning under persistent drift - 1997
View the document Mansour, Yishay (Yishay Mansour) -- Pessimistic decision tree pruning based on tree size - 1997
View the document Mansour, Yishay (Michael Kearns, Yishay Mansour, Andrew Y. Ng and Dana Ron) -- An Experimental and Theoretical Comparison of Model Selection Methods - 1997
View the document Mansour, Yishay (Yoav Freund and Yishay Mansour) -- Estimating a mixture of two product distributions - 1999
View the document Mansour, Yishay (Tom Dietterich, Michael Kearns and Yishay Mansour) -- Applying the weak learning framework to understand and improve C4.5 - 1996
View the document Mansour, Yishay (Yoav Freund, Michael Kearns, Yishay Mansour, Dana Ron and Ronitt Rubinfeld) -- Efficient algorithms for learning to play repeated games against computationally bounded adversaries - 1995
View the document Mansour, Yishay (Michael Kearns, Yishay Mansour and Andrew Y. Ng) -- A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes - 2002
View the document Mansour, Yishay (Eyal Even-Dar and Yishay Mansour) -- Learning Rates for Q-Learning - 2001
View the document Mansour, Yishay (Eyal Even-Dar, Shie Mannor and Yishay Mansour) -- PAC Bounds for Multi-armed Bandit and Markov Decision Processes - 2002
View the document Mansour, Yishay (Shai Ben-David, Philip M. Long and Yishay Mansour) -- Agnostic Boosting - 2001
View the document Mansour, Yishay (Yishay Mansour) -- Reinforcement learning and mistake bounded algorithms - 1999