Yoav Freund

	2012
69		Kamalika Chaudhuri, Yoav Freund, Daniel Hsu: An Online Learning-based Framework for Tracking CoRR abs/1203.3471: (2012)
68		Natan Jacobson, Yoav Freund, Truong Q. Nguyen: An Online Learning Approach to Occlusion Boundary Detection. IEEE Transactions on Image Processing 21(1): 252-261 (2012)
	2011
67		Natan Jacobson, Yoav Freund, Truong Q. Nguyen: Occlusion boundary detection using an online learning framework. ICASSP 2011: 913-916
	2010
66		Jack Tzeng, Yoav Freund, Truong Nguyen: Using Adaboost on contourlet based image deblurring for Fluid Lens Camera Systems. ICIP 2010: 1173-1176
65		Yoav Freund: Data winnowing. KDD 2010: 3-4
64		Kamalika Chaudhuri, Yoav Freund, Daniel Hsu: An Online Learning-based Framework for Tracking. UAI 2010: 101-108
63		Evan Ettinger, Yoav Freund: Particle Filtering on the Audio Localization Manifold CoRR abs/1003.0659: (2010)
62		Mayank Kabra, Annie L. Conery, Eyleen J. O'Rourke, Xin Xie, Vebjorn Ljosa, Thouis R. Jones, Frederick M. Ausubel, Gary Ruvkun, Anne E. Carpenter, Yoav Freund: Towards automated high-throughput screening of C. elegans on agar CoRR abs/1003.4287: (2010)
61		Germán Creamer, Yoav Freund: Learning a board Balanced Scorecard to improve corporate performance. Decision Support Systems 49(4): 365-385 (2010)
	2009
60		Sunsern Cheamanunkul, Evan Ettinger, Matt Jacobsen, Patrick Lai, Yoav Freund: Detecting, tracking and interacting with people in a public space. ICMI 2009: 79-86
59		Yoav Freund: Invited talk: Drifting games, boosting and online learning. ICML 2009: 162
58		Kamalika Chaudhuri, Yoav Freund, Daniel Hsu: A Parameter-free Hedging Algorithm. NIPS 2009: 297-305
57		Ron Alterovitz, Aaron Arvey, Sriram Sankararaman, Carolina Dallett, Yoav Freund, Kimmen Sjölander: ResBoost: characterizing and predicting catalytic residues in enzymes. BMC Bioinformatics 10: (2009)
56		Kamalika Chaudhuri, Yoav Freund, Daniel Hsu: A parameter-free hedging algorithm CoRR abs/0903.2851: (2009)
55		Kamalika Chaudhuri, Yoav Freund, Daniel Hsu: Tracking using explanation-based modeling CoRR abs/0903.2862: (2009)
54		Yoav Freund: A method for Hedging in continuous time CoRR abs/0904.3356: (2009)
53		Sanjoy Dasgupta, Yoav Freund: Random projection trees for vector quantization. IEEE Transactions on Information Theory 55(7): 3229-3242 (2009)
	2008
52		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
51		Yoav Freund: From Microscopy Images to Models of Cellular Processes. ECML/PKDD (1) 2008: 2
50		Evan Ettinger, Yoav Freund: Coordinate-free calibration of an acoustically driven camera pointing system. ICDSC 2008: 1-9
49		Sanjoy Dasgupta, Yoav Freund: Random projection trees and low dimensional manifolds. STOC 2008: 537-546
48		Yoav Freund, Daniel Hsu: A new Hedging algorithm and its application to inferring latent random variables CoRR abs/0806.4802: (2008)
	2007
47		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
46		Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul Verma: Learning the structure of manifolds using random projections. NIPS 2007
	2006
45		Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chris Wiggins, Yoav Freund, Christina S. Leslie: A classification-based framework for predicting and analyzing gene regulatory response. BMC Bioinformatics 7(S-1): (2006)
44		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
43		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
42		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
41		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
40		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
39		Yoav Freund, Alon Orlitsky, Prasad Santhanam, Junan Zhang: Universal Coding of Zipf Distributions. COLT 2003: 736-737
38		Anat Levin, Paul A. Viola, Yoav Freund: Unsupervised Improvement of Visual Detectors using Co-Training. ICCV 2003: 626-633
37		Yoav Freund: Predicting a binary sequence almost as well as the optimal biased coin. Inf. Comput. 182(2): 73-94 (2003)
36		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
35		Yoav Freund, Manfred Opper: Drifting Games and Brownian Motion. J. Comput. Syst. Sci. 64(1): 113-132 (2002)
34		Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire: The Nonstochastic Multiarmed Bandit Problem. SIAM J. Comput. 32(1): 48-77 (2002)
	2001
33		Yoav Freund: An Adaptive Version of the Boost by Majority Algorithm. Machine Learning 43(3): 293-318 (2001)
	2000
32		Yoav Freund, Manfred Opper: Continuous Drifting Games. COLT 2000: 126-132
31		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
30		Yoav Freund: An Adaptive Version of the Boost by Majority Algorithm. COLT 1999: 102-113
29		Yoav Freund, Yishay Mansour: Estimating a Mixture of Two Product Distributions. COLT 1999: 53-62
28		Yoav Freund, Llew Mason: The Alternating Decision Tree Learning Algorithm. ICML 1999: 124-133
27		Yoav Freund, Robert E. Schapire: Large Margin Classification Using the Perceptron Algorithm. Machine Learning 37(3): 277-296 (1999)
	1998
26		Yoav Freund, Robert E. Schapire: Large Margin Classification Using the Perceptron Algorithm. COLT 1998: 209-217
25		Yoav Freund: Self Bounding Learning Algorithms. COLT 1998: 247-258
24		Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer: An Efficient Boosting Algorithm for Combining Preferences. ICML 1998: 170-178
	1997
23		Yoav Freund, Robert E. Schapire: Proceedings of the Tenth Annual Conference on Computational Learning Theory, COLT 1997, Nashville, Tennessee, USA, July 6-9, 1997. ACM 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		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		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		Yoav Freund, Robert E. Schapire: Game Theory, On-Line Prediction and Boosting. COLT 1996: 325-332
14		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		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		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		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		Yoav Freund: An Improved Boosting Algorithm and Its Implications on Learning Complexity. COLT 1992: 391-398
3		Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby: Information, Prediction, and Query by Committee. NIPS 1992: 483-490
	1991
2		Yoav Freund, David Haussler: Unsupervised Learning of Distributions of Binary Vectors Using 2-Layer Networks. NIPS 1991: 912-919
	1990
1		Yoav Freund: Boosting a Weak Learning Algorithm by Majority. COLT 1990: 202-216

Coauthor Index

1	Ron Alterovitz	[57]
2	Aaron Arvey	[57]
3	Peter Auer	[9] [31] [34]
4	Frederick M. Ausubel	[62]
5	Peter Barlett	[21]
6	William Beaver	[47]
7	Ethan Bier	[47]
8	Anne E. Carpenter	[62]
9	Nicolò Cesa-Bianchi	[5] [9] [12] [18] [31] [34]
10	Kamalika Chaudhuri	[55] [56] [58] [64] [69]
11	Sunsern Cheamanunkul	[60]
12	Lifeng Chen	[44]
13	George M. Church	[44]
14	Annie L. Conery	[62]
15	Germán Creamer	[61]
16	Carolina Dallett	[57]
17	Sanjoy Dasgupta	[46] [49] [53]
18	Evan Ettinger	[50] [60] [63]
19	László Györfi	[52]
20	David Haussler	[2] [5] [18]
21	David P. Helmbold	[5] [12] [18]
22	Daniel Hsu	[48] [55] [56] [58] [64] [69]
23	Eugene Ie	[42]
24	Raj D. Iyer	[24] [36]
25	Matt Jacobsen	[60]
26	Natan Jacobson	[67] [68]
27	Thouis R. Jones	[62]
28	Mayank Kabra	[46] [62]
29	Michael Kearns (Michael J. Kearns, Michael S. Kearns)	[6] [8] [19]
30	Peter Kharchenko	[44]
31	David Kosman	[47]
32	Rui Kuang	[42]
33	Anshul Kundaje	[40] [41] [43] [45]
34	Patrick Lai	[60]
35	Wee Sun Lee	[21]
36	Christina S. Leslie	[40] [41] [42] [43] [45]
37	Anat Levin	[38]
38	Vebjorn Ljosa	[62]
39	Yishay Mansour	[8] [22] [29]
40	Llew Mason	[28]
41	William McGinnis	[47]
42	Manuel Middendorf	[40] [41] [43] [45]
43	Truong Nguyen	[66]
44	Truong Q. Nguyen	[67] [68]
45	Eyleen J. O'Rourke	[62]
46	Manfred Opper	[32] [35]
47	Alon Orlitsky	[39]
48	Dana Ron	[6] [8] [11] [19]
49	Ronitt Rubinfeld	[6] [8] [19]
50	Gary Ruvkun	[62]
51	Sriram Sankararaman	[57]
52	Prasad Santhanam	[39]
53	Robert E. Schapire	[5] [6] [8] [9] [10] [13] [15] [17] [18] [19] [20] [21] [23] [24] [26] [27] [31] [34] [36]
54	Linda Sellie	[6] [19]
55	H. Sebastian Seung	[3] [16]
56	Mihir Shah	[43] [45]
57	Eli Shamir	[3] [16]
58	Mahira Siddiqi	[42]
59	Yoram Singer	[20] [24] [36]
60	Kimmen Sjölander	[57]
61	Gary Tedeschi	[47]
62	Naftali Tishby	[3] [16]
63	György Turán	[52]
64	Jack Tzeng	[66]
65	Nakul Verma	[46]
66	Paul A. Viola	[38]
67	Dennis Vitkup	[44]
68	Kai Wang	[42]
69	Ke Wang	[42]
70	Manfred K. Warmuth	[5] [12] [18] [20]
71	Chris Wiggins (Chris H. Wiggins)	[40] [41] [43] [45]
72	Xin Xie	[62]
73	Thomas Zeugmann	[52]
74	Junan Zhang	[39]

Colors in the list of coauthors

Last update Wed May 30 22:34:44 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page