| 2008 | ||
|---|---|---|
| 49 | Ran El-Yaniv, Dmitry Pechyony, Vladimir Vapnik: Large Margin vs. Large Volume in Transductive Learning. ECML/PKDD (1) 2008: 9-10 | |
| 48 | Ran El-Yaniv, Dmitry Pechyony, Vladimir Vapnik: Large margin vs. large volume in transductive learning. Machine Learning 72(3): 173-188 (2008) | |
| 47 | Ran El-Yaniv, Dmitry Pechyony, Elad Yom-Tov: Better multiclass classification via a margin-optimized single binary problem. Pattern Recognition Letters 29(14): 1954-1959 (2008) | |
| 46 | Ron Begleiter, Ran El-Yaniv, Dmitry Pechyony: Repairing self-confident active-transductive learners using systematic exploration. Pattern Recognition Letters 29(9): 1245-1251 (2008) | |
| 2007 | ||
| 45 | Ran El-Yaniv, Dmitry Pechyony: Transductive Rademacher Complexity and Its Applications. COLT 2007: 157-171 | |
| 44 | Igor Zingman, Ron Meir, Ran El-Yaniv: Size-density spectra and their application to image classification. Pattern Recognition 40(12): 3336-3348 (2007) | |
| 2006 | ||
| 43 | Ran El-Yaniv, Dmitry Pechyony: Stable Transductive Learning. COLT 2006: 35-49 | |
| 42 | Ran El-Yaniv, Mordechai Nisenson: Optimal Single-Class Classification Strategies. NIPS 2006: 377-384 | |
| 41 | Ron Begleiter, Ran El-Yaniv: Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition. Journal of Machine Learning Research 7: 379-411 (2006) | |
| 2005 | ||
| 40 | Ron Bekkerman, Ran El-Yaniv, Andrew McCallum: Multi-way distributional clustering via pairwise interactions. ICML 2005: 41-48 | |
| 39 | Itai Sharon, Aaron Birkland, Kuan Chang, Ran El-Yaniv, Golan Yona: Correcting BLAST e-Values for Low-Complexity Segments. Journal of Computational Biology 12(7): 980-1003 (2005) | |
| 38 | Ran El-Yaniv, Leonid Gerzon: Effective transductive learning via objective model selection. Pattern Recognition Letters 26(13): 2104-2115 (2005) | |
| 2004 | ||
| 37 | Allan Borodin, Ran El-Yaniv, Vincent Gogan: Can We Learn to Beat the Best Stock. J. Artif. Intell. Res. (JAIR) 21: 579-594 (2004) | |
| 36 | Philip Derbeko, Ran El-Yaniv, Ron Meir: Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms. J. Artif. Intell. Res. (JAIR) 22: 117-142 (2004) | |
| 35 | Ron Begleiter, Ran El-Yaniv, Golan Yona: On Prediction Using Variable Order Markov Models. J. Artif. Intell. Res. (JAIR) 22: 385-421 (2004) | |
| 34 | Yoram Baram, Ran El-Yaniv, Kobi Luz: Online Choice of Active Learning Algorithms. Journal of Machine Learning Research 5: 255-291 (2004) | |
| 33 | Rani Yaroshinsky, Ran El-Yaniv, Steven S. Seiden: How to Better Use Expert Advice. Machine Learning 55(3): 271-309 (2004) | |
| 2003 | ||
| 32 | Yoram Baram, Ran El-Yaniv, Kobi Luz: Online Choice of Active Learning Algorithms. ICML 2003: 19-26 | |
| 31 | Allan Borodin, Ran El-Yaniv, Vincent Gogan: Can We Learn to Beat the Best Stock. NIPS 2003 | |
| 30 | Philip Derbeko, Ran El-Yaniv, Ron Meir: Error Bounds for Transductive Learning via Compression and Clustering. NIPS 2003 | |
| 29 | Mordechai Nisenson, Ido Yariv, Ran El-Yaniv, Ron Meir: Towards Behaviometric Security Systems: Learning to Identify a Typist. PKDD 2003: 363-374 | |
| 28 | Michael Ben-Or, Ran El-Yaniv: Resilient-optimal interactive consistency in constant time. Distributed Computing 16(4): 249-262 (2003) | |
| 27 | Ron Bekkerman, Ran El-Yaniv, Naftali Tishby, Yoad Winter: Distributional Word Clusters vs. Words for Text Categorization. Journal of Machine Learning Research 3: 1183-1208 (2003) | |
| 2002 | ||
| 26 | Philip Derbeko, Ran El-Yaniv, Ron Meir: Variance Optimized Bagging. ECML 2002: 60-71 | |
| 25 | Ran Bachrach, Ran El-Yaniv, M. Reinstadtler: On the Competitive Theory and Practice of Online List Accessing Algorithms. Algorithmica 32(2): 201-245 (2002) | |
| 24 | Shlomo Dubnov, Ziv Bar-Joseph, Ran El-Yaniv, Dani Lischinski, Michael Werman: Synthesizing Sound Textures through Wavelet Tree Learning. IEEE Computer Graphics and Applications 22(4): 38-48 (2002) | |
| 23 | Ziv Nevo, Ran El-Yaniv: On Online Learning of Decision Lists. Journal of Machine Learning Research 3: 271-301 (2002) | |
| 22 | 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) | |
| 2001 | ||
| 21 | Ran El-Yaniv, Oren Souroujon: Iterative Double Clustering for Unsupervised and Semi-supervised Learning. ECML 2001: 121-132 | |
| 20 | Gregory Shakhnarovich, Ran El-Yaniv, Yoram Baram: Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation. ICML 2001: 521-528 | |
| 19 | Ran El-Yaniv, Oren Souroujon: Iterative Double Clustering for Unsupervised and Semi-Supervised Learning. NIPS 2001: 1025-1032 | |
| 18 | Ron Bekkerman, Ran El-Yaniv, Yoad Winter, Naftali Tishby: On Feature Distributional Clustering for Text Categorization. SIGIR 2001: 146-153 | |
| 17 | Ran El-Yaniv, Amos Fiat, Richard M. Karp, G. Turpin: Optimal Search and One-Way Trading Online Algorithms. Algorithmica 30(1): 101-139 (2001) | |
| 16 | Ziv Bar-Joseph, Ran El-Yaniv, Dani Lischinski, Michael Werman: Texture Mixing and Texture Movie Synthesis Using Statistical Learning. IEEE Trans. Vis. Comput. Graph. 7(2): 120-135 (2001) | |
| 2000 | ||
| 15 | Ron Meir, Ran El-Yaniv, Shai Ben-David: Localized Boosting. COLT 2000: 190-199 | |
| 14 | Allan Borodin, Ran El-Yaniv, Vincent Gogan: On the Competitive Theory and Practice of Portfolio Selection (Extended Abstract). LATIN 2000: 173-196 | |
| 1999 | ||
| 13 | Ran El-Yaniv, R. Kaniel, Nathan Linial: Competitive Optimal On-Line Leasing. Algorithmica 25(1): 116-140 (1999) | |
| 12 | Allan Borodin, Ran El-Yaniv: On Randomization in On-Line Computation. Inf. Comput. 150(2): 244-267 (1999) | |
| 1998 | ||
| 11 | Ran El-Yaniv: Competitive Solutions for Online Financial Prob. ACM Comput. Surv. 30(1): 28-69 (1998) | |
| 1997 | ||
| 10 | Allan Borodin, Ran El-Yaniv: On Ranomization in Online Computation. IEEE Conference on Computational Complexity 1997: 226-238 | |
| 9 | Ran El-Yaniv, Shai Fine, Naftali Tishby: Agnostic Classification of Markovian Sequences. NIPS 1997 | |
| 8 | Ran Bachrach, Ran El-Yaniv: Online List Accessing Algorithms and Their Applications: Recent Empirical Evidence. SODA 1997: 53-62 | |
| 1996 | ||
| 7 | Ran El-Yaniv: Competitive Solutions for On-line Financial Problems. Online Algorithms 1996: 326-372 | |
| 1995 | ||
| 6 | Andrew Chou, Jeremy R. Cooperstock, Ran El-Yaniv, Michael Klugerman, Frank Thomson Leighton: The Statistical Adversary Allows Optimal Money-Making Trading Strategies. SODA 1995: 467-476 | |
| 5 | Ran El-Yaniv, Jon M. Kleinberg: Geometric Two-Server Algorithms. Inf. Process. Lett. 53(6): 355-358 (1995) | |
| 1993 | ||
| 4 | Ran El-Yaniv, Richard M. Karp: The Mortgage Problem. ISTCS 1993: 304-312 | |
| 1992 | ||
| 3 | Ran El-Yaniv, Amos Fiat, Richard M. Karp, G. Turpin: Competitive Analysis of Financial Games FOCS 1992: 327-333 | |
| 2 | Efthymios Anagnostou, Ran El-Yaniv, Vassos Hadzilacos: Memory Adaptive Self-Stabilizing Protocols (Extended Abstract). WDAG 1992: 203-220 | |
| 1991 | ||
| 1 | Efthymios Anagnostou, Ran El-Yaniv: More on the Power of Random Walks: Uniform Self-Stabilizing Randomized Algorithms (Preliminary Report). WDAG 1991: 31-51 | |