The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Naftali Tishby: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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. [Citation Graph (3, 0)][DBLP]
    WebDB, 1998, pp:152-171 [Conf]
  2. Fernando C. N. Pereira, Naftali Tishby, Lillian Lee
    Distributional Clustering of English Words. [Citation Graph (1, 0)][DBLP]
    ACL, 1993, pp:183-190 [Conf]
  3. David Haussler, H. Sebastian Seung, Michael J. Kearns, Naftali Tishby
    Rigorous Learning Curve Bounds from Statistical Mechanics. [Citation Graph (1, 0)][DBLP]
    COLT, 1994, pp:76-87 [Conf]
  4. Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby
    Embedding Heterogeneous Data Using Statistical Models. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  5. Amir Globerson, Naftali Tishby
    Most Informative Dimension Reduction. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:1024-1029 [Conf]
  6. Naftali Tishby
    Efficient Data Representations That Preserve Information. [Citation Graph (0, 0)][DBLP]
    ALT, 2003, pp:16- [Conf]
  7. Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
    An Information Theoretic Tradeoff between Complexity and Accuracy. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:595-609 [Conf]
  8. Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
    Bayes and Tukey Meet at the Center Point. [Citation Graph (0, 0)][DBLP]
    COLT, 2004, pp:549-563 [Conf]
  9. Esther Levin, Naftali Tishby, Sara A. Solla
    A Statistical Approach to Learning and Generalization in Layered Neural Networks. [Citation Graph (0, 0)][DBLP]
    COLT, 1989, pp:245-260 [Conf]
  10. Shahar Mendelson, Naftali Tishby
    Statistical Sufficiency for Classes in Empirical L2 Spaces. [Citation Graph (0, 0)][DBLP]
    COLT, 2000, pp:81-89 [Conf]
  11. Dana Ron, Yoram Singer, Naftali Tishby
    Learning Probabilistic Automata with Variable Memory Length. [Citation Graph (0, 0)][DBLP]
    COLT, 1994, pp:35-46 [Conf]
  12. Dana Ron, Yoram Singer, Naftali Tishby
    On the Learnability and Usage of Acyclic Probabilistic Finite Automata. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:31-40 [Conf]
  13. H. Sebastian Seung, Haim Sompolinsky, Naftali Tishby
    Learning Curves in Large Neural Networks. [Citation Graph (0, 0)][DBLP]
    COLT, 1991, pp:112-127 [Conf]
  14. Naftali Tishby
    Efficient Data Representations That Preserve Information. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2003, pp:45- [Conf]
  15. Daphna Weinshall, Michael Werman, Naftali Tishby
    Stability and Likelihood of Views of Three Dimensional Objects. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 1994, pp:24-35 [Conf]
  16. Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
    Margin based feature selection - theory and algorithms. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  17. Amir Globerson, Naftali Tishby
    Sufficient Dimensionality Reduction - A novel Analysis Method. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:203-210 [Conf]
  18. Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby
    Discriminative Feature Selection via Multiclass Variable Memory Markov Model. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:578-585 [Conf]
  19. Yevgeny Seldin, Gill Bejerano, Naftali Tishby
    Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:513-520 [Conf]
  20. Golan Yona, Nathan Linial, Naftali Tishby, Michal Linial
    A Map of the Protein Space: An Automatic Hierarchical Classification of all Protein Sequences. [Citation Graph (0, 0)][DBLP]
    ISMB, 1998, pp:212-221 [Conf]
  21. Gal Chechik, Amir Globerson, M. J. Anderson, E. D. Young, I. Nelken, Naftali Tishby
    Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:173-180 [Conf]
  22. Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss
    Information Bottleneck for Gaussian Variables. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  23. Gal Chechik, Naftali Tishby
    Temporally Dependent Plasticity: An Information Theoretic Account. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:110-116 [Conf]
  24. Gal Chechik, Naftali Tishby
    Extracting Relevant Structures with Side Information. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:857-864 [Conf]
  25. Koby Crammer, Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
    Margin Analysis of the LVQ Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:462-469 [Conf]
  26. Ran El-Yaniv, Shai Fine, Naftali Tishby
    Agnostic Classification of Markovian Sequences. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  27. Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby
    Information, Prediction, and Query by Committee. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:483-490 [Conf]
  28. Itay Gat, Naftali Tishby
    Statistical Modeling of Cell Assemblies Activities in Associative Cortex of Behaving Monkeys. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:945-952 [Conf]
  29. Itay Gat, Naftali Tishby
    Synergy and Redundancy among Brain Cells of Behaving Monkeys. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:111-117 [Conf]
  30. Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
    Query by Committee Made Real. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  31. Amir Globerson, Gal Chechik, Fernando C. Pereira, Naftali Tishby
    Euclidean Embedding of Co-Occurrence Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  32. Scott Kirkpatrick, Géza Györgyi, Naftali Tishby, Lidror Troyansky
    The Statistical Mechanics of k-Satisfaction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:439-446 [Conf]
  33. Eyal Krupka, Naftali Tishby
    Generalization in Clustering with Unobserved Features. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  34. Amir Navot, Lavi Shpigelman, Naftali Tishby, Eilon Vaadia
    Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  35. Dmitry Rinberg, Hanan Davidowitz, Naftali Tishby
    Multi-Electrode Spike Sorting by Clustering Transfer Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:146-152 [Conf]
  36. Dana Ron, Yoram Singer, Naftali Tishby
    The Power of Amnesia. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:176-183 [Conf]
  37. Elad Schneidman, Naama Brenner, Naftali Tishby, Robert R. de Ruyter van Steveninck, William Bialek
    Universality and Individuality in a Neural Code. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:159-165 [Conf]
  38. Elad Schneidman, Idan Segev, Naftali Tishby
    Information Capacity and Robustness of Stochastic Neuron Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:178-184 [Conf]
  39. Yoram Singer, Naftali Tishby
    Decoding Cursive Scripts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:833-840 [Conf]
  40. Noam Slonim, Nir Friedman, Naftali Tishby
    Agglomerative Multivariate Information Bottleneck. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:929-936 [Conf]
  41. Noam Slonim, Naftali Tishby
    Agglomerative Information Bottleneck. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:617-623 [Conf]
  42. Naftali Tishby, Noam Slonim
    Data Clustering by Markovian Relaxation and the Information Bottleneck Method. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:640-646 [Conf]
  43. Ron Bekkerman, Ran El-Yaniv, Yoad Winter, Naftali Tishby
    On Feature Distributional Clustering for Text Categorization. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2001, pp:146-153 [Conf]
  44. Noam Slonim, Nir Friedman, Naftali Tishby
    Unsupervised document classification using sequential information maximization. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2002, pp:129-136 [Conf]
  45. Noam Slonim, Naftali Tishby
    Document clustering using word clusters via the information bottleneck method. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2000, pp:208-215 [Conf]
  46. Amir Navot, Ran Gilad-Bachrach, Yiftah Navot, Naftali Tishby
    Is Feature Selection Still Necessary? [Citation Graph (0, 0)][DBLP]
    SLSFS, 2005, pp:127-138 [Conf]
  47. Daphna Weinshall, Michael Werman, Naftali Tishby
    Stability and Likelihood of Views of Three Dimensional Objects. [Citation Graph (0, 0)][DBLP]
    Theoretical Foundations of Computer Vision, 1994, pp:237-256 [Conf]
  48. Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby
    Multivariate Information Bottleneck. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:152-161 [Conf]
  49. Amir Globerson, Gal Chechik, Naftali Tishby
    Sufficient Dimensionality Reduction with Irrelevance Statistics. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:281-288 [Conf]
  50. Gill Bejerano, Yevgeny Seldin, Hanah Margalit, Naftali Tishby
    Markovian domain fingerprinting: statistical segmentation of protein sequences. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2001, v:17, n:10, pp:927-934 [Journal]
  51. Fernando C. N. Pereira, Yoram Singer, Naftali Tishby
    Beyond Word N-Grams [Citation Graph (0, 0)][DBLP]
    CoRR, 1996, v:0, n:, pp:- [Journal]
  52. Naftali Tishby, Fernando C. Pereira, William Bialek
    The information bottleneck method [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  53. William Bialek, Ilya Nemenman, Naftali Tishby
    Predictability, complexity and learning [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  54. Gill Bejerano, Nir Friedman, Naftali Tishby
    Efficient Exact p-Value Computation for Small Sample, Sparse, and Surprising Categorical Data. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2004, v:11, n:5, pp:867-886 [Journal]
  55. Dana Ron, Yoram Singer, Naftali Tishby
    On the Learnability and Usage of Acyclic Probabilistic Finite Automata. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1998, v:56, n:2, pp:133-152 [Journal]
  56. Amir Globerson, Naftali Tishby
    Sufficient Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:3, n:, pp:1307-1331 [Journal]
  57. Ron Bekkerman, Ran El-Yaniv, Naftali Tishby, Yoad Winter
    Distributional Word Clusters vs. Words for Text Categorization. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:3, n:, pp:1183-1208 [Journal]
  58. Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss
    Information Bottleneck for Gaussian Variables. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:165-188 [Journal]
  59. Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby
    Selective Sampling Using the Query by Committee Algorithm. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:28, n:2-3, pp:133-168 [Journal]
  60. 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. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:47, n:1, pp:35-61 [Journal]
  61. Shai Fine, Yoram Singer, Naftali Tishby
    The Hierarchical Hidden Markov Model: Analysis and Applications. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1998, v:32, n:1, pp:41-62 [Journal]
  62. David Haussler, Michael J. Kearns, H. Sebastian Seung, Naftali Tishby
    Rigorous Learning Curve Bounds from Statistical Mechanics. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:25, n:2-3, pp:195-236 [Journal]
  63. Dana Ron, Yoram Singer, Naftali Tishby
    The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:25, n:2-3, pp:117-149 [Journal]
  64. William Bialek, Ilya Nemenman, Naftali Tishby
    Predictability, Complexity, and Learning. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:11, pp:2409-2463 [Journal]
  65. Itay Gat, Naftali Tishby
    Spotting Neural Spike Patterns Using an Adversary Background Model. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:12, pp:2681-2708 [Journal]
  66. Noam Slonim, Nir Friedman, Naftali Tishby
    Multivariate Information Bottleneck. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:8, pp:1739-1789 [Journal]
  67. Yevgeny Seldin, Noam Slonim, Naftali Tishby
    Information Bottleneck for Non Co-Occurrence Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1241-1248 [Conf]
  68. Amir Globerson, Naftali Tishby
    The Minimum Information Principle for Discriminative Learning. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:193-200 [Conf]

  69. Learning and Generalization with the Information Bottleneck. [Citation Graph (, )][DBLP]


  70. Model Selection and Stability in k-means Clustering. [Citation Graph (, )][DBLP]


  71. Multi-classification by categorical features via clustering. [Citation Graph (, )][DBLP]


  72. Cluster Stability for Finite Samples. [Citation Graph (, )][DBLP]


  73. On the Reliability of Clustering Stability in the Large Sample Regime. [Citation Graph (, )][DBLP]


  74. Dynamical encoding of cursive handwriting. [Citation Graph (, )][DBLP]


Search in 0.044secs, Finished in 0.047secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002