2008 | ||
---|---|---|
49 | EE | Ran El-Yaniv, Dmitry Pechyony, Vladimir Vapnik: Large Margin vs. Large Volume in Transductive Learning. ECML/PKDD (1) 2008: 9-10 |
48 | EE | Ran El-Yaniv, Dmitry Pechyony, Vladimir Vapnik: Large margin vs. large volume in transductive learning. Machine Learning 72(3): 173-188 (2008) |
47 | EE | 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 | EE | 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 | EE | Ran El-Yaniv, Dmitry Pechyony: Transductive Rademacher Complexity and Its Applications. COLT 2007: 157-171 |
44 | EE | 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 | EE | Ran El-Yaniv, Dmitry Pechyony: Stable Transductive Learning. COLT 2006: 35-49 |
42 | EE | Ran El-Yaniv, Mordechai Nisenson: Optimal Single-Class Classification Strategies. NIPS 2006: 377-384 |
41 | EE | 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 | EE | Ron Bekkerman, Ran El-Yaniv, Andrew McCallum: Multi-way distributional clustering via pairwise interactions. ICML 2005: 41-48 |
39 | EE | 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 | EE | Ran El-Yaniv, Leonid Gerzon: Effective transductive learning via objective model selection. Pattern Recognition Letters 26(13): 2104-2115 (2005) |
2004 | ||
37 | EE | 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 | EE | 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 | EE | Ron Begleiter, Ran El-Yaniv, Golan Yona: On Prediction Using Variable Order Markov Models. J. Artif. Intell. Res. (JAIR) 22: 385-421 (2004) |
34 | EE | Yoram Baram, Ran El-Yaniv, Kobi Luz: Online Choice of Active Learning Algorithms. Journal of Machine Learning Research 5: 255-291 (2004) |
33 | EE | 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 | EE | Allan Borodin, Ran El-Yaniv, Vincent Gogan: Can We Learn to Beat the Best Stock. NIPS 2003 |
30 | EE | Philip Derbeko, Ran El-Yaniv, Ron Meir: Error Bounds for Transductive Learning via Compression and Clustering. NIPS 2003 |
29 | EE | Mordechai Nisenson, Ido Yariv, Ran El-Yaniv, Ron Meir: Towards Behaviometric Security Systems: Learning to Identify a Typist. PKDD 2003: 363-374 |
28 | EE | Michael Ben-Or, Ran El-Yaniv: Resilient-optimal interactive consistency in constant time. Distributed Computing 16(4): 249-262 (2003) |
27 | EE | 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 | EE | Philip Derbeko, Ran El-Yaniv, Ron Meir: Variance Optimized Bagging. ECML 2002: 60-71 |
25 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Ran El-Yaniv: Competitive Solutions for Online Financial Prob. ACM Comput. Surv. 30(1): 28-69 (1998) |
1997 | ||
10 | EE | 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 | EE | 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 |