Property Testing: A Learning Theory Perspective Dana Ron∗ School of EE Tel-Aviv University Ramat Aviv, Israel

First Page		Document Content
Date: 2009-05-02 11:33:29 Machine learning Computational complexity theory Theoretical computer science Applied mathematics Learning Models of computation Property testing Decision tree model Sample complexity PP Probability distribution Time complexity		Property Testing: A Learning Theory Perspective Dana Ron∗ School of EE Tel-Aviv University Ramat Aviv, Israel Add to Reading List Source URL: www.eng.tau.ac.il Download Document from Source Website File Size: 599,55 KB Share Document on Facebook

	Latent Domain Phrase-based Models for Adaptation Hoang Cuong and Khalil Sima’an Institute for Logic, Language and Computation University of Amsterdam Science Park 107, 1098 XG Amsterdam, The Netherlands {c.hoang,k.sima DocID: 1uFJW - View Document
	Grown-in Defects of InSb Crystals: Models and Computation N. Vaidya ∗, H. Huang †, and D. Liang ‡ Department of Mathematics & Statistics, York University Toronto, Canada M3J 1P3. August 22, 2005 DocID: 1u9va - View Document
	NUMERICAL SOLUTION of MARKOV CHAINS, p. 1–22 Hypergraph-based Parallel Computation of Passage Time Densities in Large Semi-Markov Models ∗ DocID: 1u2vA - View Document
	The Myriad simulator: parallel computation for densely integrated models Pedro Rittner , Andrew J. Davies, Thomas A. Cleland 1 Dept. of Psychology, Cornell University, Ithaca, NY Why another simulator? DocID: 1tZVk - View Document
	Aggregating Private Sparse Learning Models Using Multi-Party Computation Lu Tian, Bargav Jayaraman, Quanquan Gu, and David Evans University of Virginia https://oblivc.org/ppml DocID: 1tvdd - View Document