2009 | ||
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52 | EE | Kamalika Chaudhuri, Yoav Freund, Daniel Hsu: A parameter-free hedging algorithm CoRR abs/0903.2851: (2009) |
51 | EE | Kamalika Chaudhuri, Yoav Freund, Daniel Hsu: Tracking using explanation-based modeling CoRR abs/0903.2862: (2009) |
50 | EE | Yoav Freund: A method for Hedging in continuous time CoRR abs/0904.3356: (2009) |
2008 | ||
49 | Yoav Freund, László Györfi, György Turán, Thomas Zeugmann: Algorithmic Learning Theory, 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008. Proceedings Springer 2008 | |
48 | EE | Yoav Freund: From Microscopy Images to Models of Cellular Processes. ECML/PKDD (1) 2008: 2 |
47 | EE | Sanjoy Dasgupta, Yoav Freund: Random projection trees and low dimensional manifolds. STOC 2008: 537-546 |
46 | EE | Yoav Freund, Daniel Hsu: A new Hedging algorithm and its application to inferring latent random variables CoRR abs/0806.4802: (2008) |
2007 | ||
45 | EE | William Beaver, David Kosman, Gary Tedeschi, Ethan Bier, William McGinnis, Yoav Freund: Segmentation of Nuclei on Confocal Image Stacks Using Performance Based Thresholding. ISBI 2007: 53-56 |
44 | EE | Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul Verma: Learning the structure of manifolds using random projections. NIPS 2007 |
2006 | ||
43 | EE | Peter Kharchenko, Lifeng Chen, Yoav Freund, Dennis Vitkup, George M. Church: Identifying metabolic enzymes with multiple types of association evidence. BMC Bioinformatics 7: 177 (2006) |
2005 | ||
42 | EE | Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins, Christina S. Leslie: Motif Discovery Through Predictive Modeling of Gene Regulation. RECOMB 2005: 538-552 |
2004 | ||
41 | EE | Rui Kuang, Eugene Ie, Ke Wang, Kai Wang, Mahira Siddiqi, Yoav Freund, Christina S. Leslie: Profile-Based String Kernels for Remote Homology Detection and Motif Extraction. CSB 2004: 152-160 |
40 | EE | Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie: Predicting genetic regulatory response using classification. ISMB/ECCB (Supplement of Bioinformatics) 2004: 232-240 |
39 | EE | Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie: Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response. Regulatory Genomics 2004: 1-13 |
2003 | ||
38 | EE | Yoav Freund, Alon Orlitsky, Prasad Santhanam, Junan Zhang: Universal Coding of Zipf Distributions. COLT 2003: 736-737 |
37 | EE | Anat Levin, Paul A. Viola, Yoav Freund: Unsupervised Improvement of Visual Detectors using Co-Training. ICCV 2003: 626-633 |
36 | EE | Yoav Freund: Predicting a binary sequence almost as well as the optimal biased coin. Inf. Comput. 182(2): 73-94 (2003) |
35 | EE | Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer: An Efficient Boosting Algorithm for Combining Preferences. Journal of Machine Learning Research 4: 933-969 (2003) |
2002 | ||
34 | EE | Yoav Freund, Manfred Opper: Drifting Games and Brownian Motion. J. Comput. Syst. Sci. 64(1): 113-132 (2002) |
33 | EE | Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire: The Nonstochastic Multiarmed Bandit Problem. SIAM J. Comput. 32(1): 48-77 (2002) |
2001 | ||
32 | Yoav Freund: An Adaptive Version of the Boost by Majority Algorithm. Machine Learning 43(3): 293-318 (2001) | |
2000 | ||
31 | Yoav Freund, Manfred Opper: Continuous Drifting Games. COLT 2000: 126-132 | |
30 | EE | Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire: Gambling in a rigged casino: The adversarial multi-armed bandit problem Electronic Colloquium on Computational Complexity (ECCC) 7(68): (2000) |
1999 | ||
29 | EE | Yoav Freund: An Adaptive Version of the Boost by Majority Algorithm. COLT 1999: 102-113 |
28 | EE | Yoav Freund, Yishay Mansour: Estimating a Mixture of Two Product Distributions. COLT 1999: 53-62 |
27 | Yoav Freund, Llew Mason: The Alternating Decision Tree Learning Algorithm. ICML 1999: 124-133 | |
26 | Yoav Freund, Robert E. Schapire: Large Margin Classification Using the Perceptron Algorithm. Machine Learning 37(3): 277-296 (1999) | |
1998 | ||
25 | EE | Yoav Freund, Robert E. Schapire: Large Margin Classification Using the Perceptron Algorithm. COLT 1998: 209-217 |
24 | EE | Yoav Freund: Self Bounding Learning Algorithms. COLT 1998: 247-258 |
23 | Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer: An Efficient Boosting Algorithm for Combining Preferences. ICML 1998: 170-178 | |
1997 | ||
22 | Yoav Freund, Yishay Mansour: Learning Under Persistent Drift. EuroCOLT 1997: 109-118 | |
21 | Robert E. Schapire, Yoav Freund, Peter Barlett, Wee Sun Lee: Boosting the margin: A new explanation for the effectiveness of voting methods. ICML 1997: 322-330 | |
20 | EE | Yoav Freund, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth: Using and Combining Predictors That Specialize. STOC 1997: 334-343 |
19 | Yoav Freund, Michael J. Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie: Efficient Learning of Typical Finite Automata from Random Walks. Inf. Comput. 138(1): 23-48 (1997) | |
18 | EE | Nicolò Cesa-Bianchi, Yoav Freund, David Haussler, David P. Helmbold, Robert E. Schapire, Manfred K. Warmuth: How to use expert advice. J. ACM 44(3): 427-485 (1997) |
17 | Yoav Freund, Robert E. Schapire: A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting. J. Comput. Syst. Sci. 55(1): 119-139 (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) | |
1996 | ||
15 | EE | Yoav Freund, Robert E. Schapire: Game Theory, On-Line Prediction and Boosting. COLT 1996: 325-332 |
14 | EE | Yoav Freund: Predicting a Binary Sequence Almost As Well As the Optimal Biased Coin. COLT 1996: 89-98 |
13 | Yoav Freund, Robert E. Schapire: Experiments with a New Boosting Algorithm. ICML 1996: 148-156 | |
12 | Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, Manfred K. Warmuth: On-line Prediction and Conversion Strategies. Machine Learning 25(1): 71-110 (1996) | |
1995 | ||
11 | EE | Yoav Freund, Dana Ron: Learning to Model Sequences Generated by Switching Distributions. COLT 1995: 41-50 |
10 | Yoav Freund, Robert E. Schapire: A decision-theoretic generalization of on-line learning and an application to boosting. EuroCOLT 1995: 23-37 | |
9 | Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire: Gambling in a Rigged Casino: The Adversarial Multi-Arm Bandit Problem. FOCS 1995: 322-331 | |
8 | Yoav Freund, Michael J. Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire: Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries. FOCS 1995: 332-341 | |
7 | Yoav Freund: Boosting a Weak Learning Algorithm by Majority Inf. Comput. 121(2): 256-285 (1995) | |
1993 | ||
6 | EE | Yoav Freund, Michael J. Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie: Efficient learning of typical finite automata from random walks. STOC 1993: 315-324 |
5 | EE | Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, David Haussler, Robert E. Schapire, Manfred K. Warmuth: How to use expert advice. STOC 1993: 382-391 |
1992 | ||
4 | EE | Yoav Freund: An Improved Boosting Algorithm and Its Implications on Learning Complexity. COLT 1992: 391-398 |
3 | EE | Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby: Information, Prediction, and Query by Committee. NIPS 1992: 483-490 |
1991 | ||
2 | EE | Yoav Freund, David Haussler: Unsupervised Learning of Distributions of Binary Vectors Using 2-Layer Networks. NIPS 1991: 912-919 |
1990 | ||
1 | EE | Yoav Freund: Boosting a Weak Learning Algorithm by Majority. COLT 1990: 202-216 |