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Ran El-Yaniv: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Allan Borodin, Ran El-Yaniv
    On Ranomization in Online Computation. [Citation Graph (0, 0)][DBLP]
    IEEE Conference on Computational Complexity, 1997, pp:226-238 [Conf]
  2. Ran El-Yaniv, Dmitry Pechyony
    Stable Transductive Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 2006, pp:35-49 [Conf]
  3. Ron Meir, Ran El-Yaniv, Shai Ben-David
    Localized Boosting. [Citation Graph (0, 0)][DBLP]
    COLT, 2000, pp:190-199 [Conf]
  4. Ran El-Yaniv
    Competitive Solutions for On-line Financial Problems. [Citation Graph (0, 0)][DBLP]
    Online Algorithms, 1996, pp:326-372 [Conf]
  5. Philip Derbeko, Ran El-Yaniv, Ron Meir
    Variance Optimized Bagging. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:60-71 [Conf]
  6. Ran El-Yaniv, Oren Souroujon
    Iterative Double Clustering for Unsupervised and Semi-supervised Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:121-132 [Conf]
  7. Ran El-Yaniv, Amos Fiat, Richard M. Karp, G. Turpin
    Competitive Analysis of Financial Games [Citation Graph (0, 0)][DBLP]
    FOCS, 1992, pp:327-333 [Conf]
  8. Ron Bekkerman, Ran El-Yaniv, Andrew McCallum
    Multi-way distributional clustering via pairwise interactions. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:41-48 [Conf]
  9. Yoram Baram, Ran El-Yaniv, Kobi Luz
    Online Choice of Active Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:19-26 [Conf]
  10. Gregory Shakhnarovich, Ran El-Yaniv, Yoram Baram
    Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:521-528 [Conf]
  11. Ran El-Yaniv, Richard M. Karp
    The Mortgage Problem. [Citation Graph (0, 0)][DBLP]
    ISTCS, 1993, pp:304-312 [Conf]
  12. Allan Borodin, Ran El-Yaniv, Vincent Gogan
    On the Competitive Theory and Practice of Portfolio Selection (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    LATIN, 2000, pp:173-196 [Conf]
  13. Allan Borodin, Ran El-Yaniv, Vincent Gogan
    Can We Learn to Beat the Best Stock. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  14. Philip Derbeko, Ran El-Yaniv, Ron Meir
    Error Bounds for Transductive Learning via Compression and Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  15. Ran El-Yaniv, Shai Fine, Naftali Tishby
    Agnostic Classification of Markovian Sequences. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  16. Ran El-Yaniv, Oren Souroujon
    Iterative Double Clustering for Unsupervised and Semi-Supervised Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1025-1032 [Conf]
  17. Mordechai Nisenson, Ido Yariv, Ran El-Yaniv, Ron Meir
    Towards Behaviometric Security Systems: Learning to Identify a Typist. [Citation Graph (0, 0)][DBLP]
    PKDD, 2003, pp:363-374 [Conf]
  18. 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]
  19. Ran Bachrach, Ran El-Yaniv
    Online List Accessing Algorithms and Their Applications: Recent Empirical Evidence. [Citation Graph (0, 0)][DBLP]
    SODA, 1997, pp:53-62 [Conf]
  20. Andrew Chou, Jeremy R. Cooperstock, Ran El-Yaniv, Michael Klugerman, Frank Thomson Leighton
    The Statistical Adversary Allows Optimal Money-Making Trading Strategies. [Citation Graph (0, 0)][DBLP]
    SODA, 1995, pp:467-476 [Conf]
  21. Efthymios Anagnostou, Ran El-Yaniv
    More on the Power of Random Walks: Uniform Self-Stabilizing Randomized Algorithms (Preliminary Report). [Citation Graph (0, 0)][DBLP]
    WDAG, 1991, pp:31-51 [Conf]
  22. Efthymios Anagnostou, Ran El-Yaniv, Vassos Hadzilacos
    Memory Adaptive Self-Stabilizing Protocols (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    WDAG, 1992, pp:203-220 [Conf]
  23. Ran Bachrach, Ran El-Yaniv, M. Reinstadtler
    On the Competitive Theory and Practice of Online List Accessing Algorithms. [Citation Graph (0, 0)][DBLP]
    Algorithmica, 2002, v:32, n:2, pp:201-245 [Journal]
  24. Ran El-Yaniv, Amos Fiat, Richard M. Karp, G. Turpin
    Optimal Search and One-Way Trading Online Algorithms. [Citation Graph (0, 0)][DBLP]
    Algorithmica, 2001, v:30, n:1, pp:101-139 [Journal]
  25. Ran El-Yaniv, R. Kaniel, Nathan Linial
    Competitive Optimal On-Line Leasing. [Citation Graph (0, 0)][DBLP]
    Algorithmica, 1999, v:25, n:1, pp:116-140 [Journal]
  26. Shlomo Dubnov, Ziv Bar-Joseph, Ran El-Yaniv, Dani Lischinski, Michael Werman
    Synthesizing Sound Textures through Wavelet Tree Learning. [Citation Graph (0, 0)][DBLP]
    IEEE Computer Graphics and Applications, 2002, v:22, n:4, pp:38-48 [Journal]
  27. Ran El-Yaniv
    Competitive Solutions for Online Financial Prob. [Citation Graph (0, 0)][DBLP]
    ACM Comput. Surv., 1998, v:30, n:1, pp:28-69 [Journal]
  28. Michael Ben-Or, Ran El-Yaniv
    Resilient-optimal interactive consistency in constant time. [Citation Graph (0, 0)][DBLP]
    Distributed Computing, 2003, v:16, n:4, pp:249-262 [Journal]
  29. Allan Borodin, Ran El-Yaniv
    On Randomization in On-Line Computation. [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 1999, v:150, n:2, pp:244-267 [Journal]
  30. Ran El-Yaniv, Jon M. Kleinberg
    Geometric Two-Server Algorithms. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 1995, v:53, n:6, pp:355-358 [Journal]
  31. Philip Derbeko, Ran El-Yaniv, Ron Meir
    Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2004, v:22, n:, pp:117-142 [Journal]
  32. Ron Begleiter, Ran El-Yaniv, Golan Yona
    On Prediction Using Variable Order Markov Models. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2004, v:22, n:, pp:385-421 [Journal]
  33. Allan Borodin, Ran El-Yaniv, Vincent Gogan
    Can We Learn to Beat the Best Stock. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2004, v:21, n:, pp:579-594 [Journal]
  34. Yoram Baram, Ran El-Yaniv, Kobi Luz
    Online Choice of Active Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:255-291 [Journal]
  35. 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]
  36. Ziv Nevo, Ran El-Yaniv
    On Online Learning of Decision Lists. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:271-301 [Journal]
  37. Ron Begleiter, Ran El-Yaniv
    Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:379-411 [Journal]
  38. 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]
  39. Rani Yaroshinsky, Ran El-Yaniv, Steven S. Seiden
    How to Better Use Expert Advice. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:55, n:3, pp:271-309 [Journal]
  40. Ran El-Yaniv, Leonid Gerzon
    Effective transductive learning via objective model selection. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:13, pp:2104-2115 [Journal]
  41. Ziv Bar-Joseph, Ran El-Yaniv, Dani Lischinski, Michael Werman
    Texture Mixing and Texture Movie Synthesis Using Statistical Learning. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Vis. Comput. Graph., 2001, v:7, n:2, pp:120-135 [Journal]
  42. Ran El-Yaniv, Dmitry Pechyony
    Transductive Rademacher Complexity and Its Applications. [Citation Graph (0, 0)][DBLP]
    COLT, 2007, pp:157-171 [Conf]
  43. Ran El-Yaniv, Mordechai Nisenson
    Optimal Single-Class Classification Strategies. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:377-384 [Conf]
  44. Igor Zingman, Ron Meir, Ran El-Yaniv
    Size-density spectra and their application to image classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:12, pp:3336-3348 [Journal]

  45. Large Margin vs. Large Volume in Transductive Learning. [Citation Graph (, )][DBLP]


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