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Note: Links lead to the DBLP on the Web. Naftali Tishby 40 Amir Globerson , Naftali Tishby: Most Informative Dimension Reduction. AAAI/IAAI 2002 : 1024-1029 39 Amir Globerson , Naftali Tishby: Sufficient Dimensionality Reduction - A novel Analysis Method. ICML 2002 : 203-210 38 Noam Slonim , Gill Bejerano , Shai Fine , Naftali Tishby: Discriminative Feature Selection via Multiclass Variable Memory Markov Model. ICML 2002 : 578-585 37 Noam Slonim , Nir Friedman , Naftali Tishby: Unsupervised document classification using sequential information maximization. SIGIR 2002 : 129-136 36 Shlomo Dubnov , Ran El-Yaniv , Yoram Gdalyahu , Elad Schneidman , Naftali Tishby, Golan Yona : A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles. Machine Learning 47 (1): 35-61 (2002) 35 Yevgeny Seldin , Gill Bejerano , Naftali Tishby: Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources. ICML 2001 : 513-520 34 Noam Slonim , Nir Friedman , Naftali Tishby: Agglomerative Multivariate Information Bottleneck. NIPS 2001 : 929-936 33 Ron Bekkerman , Ran El-Yaniv , Yoad Winter , Naftali Tishby: On Feature Distributional Clustering for Text Categorization. SIGIR 2001 : 146-153 32 Nir Friedman , Ori Mosenzon , Noam Slonim , Naftali Tishby: Multivariate Information Bottleneck. UAI 2001 : 152-161 31 Gill Bejerano , Yevgeny Seldin , Hanah Margalit , Naftali Tishby: Markovian domain fingerprinting: statistical segmentation of protein sequences. Bioinformatics 17 (10): 927-934 (2001) 30 Shahar Mendelson , Naftali Tishby: Statistical Sufficiency for Classes in Empirical L 2 Spaces. COLT 2000 : 81-89 29 Gal Chechik , Naftali Tishby: Temporally Dependent Plasticity: An Information Theoretic Account. NIPS 2000 : 110-116 28 Elad Schneidman , Naama Brenner , Naftali Tishby, Robert R. de Ruyter van Steveninck , William Bialek : Universality and Individuality in a Neural Code. NIPS 2000 : 159-165 27 Naftali Tishby, Noam Slonim : Data Clustering by Markovian Relaxation and the Information Bottleneck Method. NIPS 2000 : 640-646 26 Noam Slonim , Naftali Tishby: Document clustering using word clusters via the information bottleneck method. SIGIR 2000 : 208-215 25 Elad Schneidman , Idan Segev , Naftali Tishby: Information Capacity and Robustness of Stochastic Neuron Models. NIPS 1999 : 178-184 24 Noam Slonim , Naftali Tishby: Agglomerative Information Bottleneck. NIPS 1999 : 617-623 23 Golan Yona , Nathan Linial , Naftali Tishby, Michal Linial : A Map of the Protein Space: An Automatic Hierarchical Classification of all Protein Sequences. ISMB 1998 : 212-221 22 Itay Gat , Naftali Tishby: Synergy and Redundancy among Brain Cells of Behaving Monkeys. NIPS 1998 : 111-117 21 Dmitry Rinberg , Hanan Davidowitz , Naftali Tishby: Multi-Electrode Spike Sorting by Clustering Transfer Functions. NIPS 1998 : 146-152 20 Catriel Beeri , Gershon Elber , Tova Milo , Yehoshua Sagiv , Oded Shmueli , Naftali Tishby, Yakov A. Kogan , David Konopnicki , Pini Mogilevski , Noam Slonim : WebSuite: A Tool Suite for Harnessing Web Data. WebDB 1998 : 152-171 19 Dana Ron , Yoram Singer , Naftali Tishby: On the Learnability and Usage of Acyclic Probabilistic Finite Automata. JCSS 56 (2): 133-152 (1998) 18 Shai Fine , Yoram Singer , Naftali Tishby: The Hierarchical Hidden Markov Model: Analysis and Applications. Machine Learning 32 (1): 41-62 (1998) 17 Ran El-Yaniv , Shai Fine , Naftali Tishby: Agnostic Classification of Markovian Sequences. NIPS 1997 16 Yoav Freund , H. Sebastian Seung , Eli Shamir , Naftali Tishby: Selective Sampling Using the Query by Committee Algorithm. Machine Learning 28 (2-3): 133-168 (1997) 15 Dana Ron , Yoram Singer , Naftali Tishby: The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length. Machine Learning 25 (2-3): 117-149 (1996) 14 David Haussler , Michael J. Kearns , H. Sebastian Seung , Naftali Tishby: Rigorous Learning Curve Bounds from Statistical Mechanics. Machine Learning 25 (2-3): 195-236 (1996) 13 Dana Ron , Yoram Singer , Naftali Tishby: On the Learnability and Usage of Acyclic Probabilistic Finite Automata. COLT 1995 : 31-40 12 Dana Ron , Yoram Singer , Naftali Tishby: Learning Probabilistic Automata with Variable Memory Length. COLT 1994 : 35-46 11 David Haussler , H. Sebastian Seung , Michael J. Kearns , Naftali Tishby: Rigorous Learning Curve Bounds from Statistical Mechanics. COLT 1994 : 76-87 10 Daphna Weinshall , Michael Werman , Naftali Tishby: Stability and Likelihood of Views of Three Dimensional Objects. ECCV (1) 1994 : 24-35 9 Daphna Weinshall , Michael Werman , Naftali Tishby: Stability and Likelihood of Views of Three Dimensional Objects. Theoretical Foundations of Computer Vision 1994 : 237-256 8 Fernando C. N. Pereira , Naftali Tishby, Lillian Lee : Distributional Clustering of English Words. ACL 1993 : 183-190 7 Dana Ron , Yoram Singer , Naftali Tishby: The Power of Amnesia. NIPS 1993 : 176-183 6 Scott Kirkpatrick , Géza Györgyi , Naftali Tishby, Lidror Troyanksy : The Statistical Mechanics of k-Satisfaction. NIPS 1993 : 439-446 5 Yoram Singer , Naftali Tishby: Decoding Cursive Scripts. NIPS 1993 : 833-840 4 Yoav Freund , H. Sebastian Seung , Eli Shamir , Naftali Tishby: Information, Prediction, and Query by Committee. NIPS 1992 : 483-490 3 Itay Gat , Naftali Tishby: Statistical Modeling of Cell Assemblies Activities in Associative Cortex of Behaving Monkeys. NIPS 1992 : 945-952 2 H. S. Seung , Haim Sompolinsky , Naftali Tishby: Learning Curves in Large Neural Networks. COLT 1991 : 112-127 1 Esther Levin , Naftali Tishby, Sara A. Solla : A Statistical Approach to Learning and Generalization in Layered Neural Networks. COLT 1989 : 245-260  DiSC'03 © 2003 Association for Computing Machinery |
