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Yoav Freund: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yoav Freund
    Boosting a Weak Learning Algorithm by Majority. [Citation Graph (0, 0)][DBLP]
    COLT, 1990, pp:202-216 [Conf]
  2. Yoav Freund
    An Improved Boosting Algorithm and Its Implications on Learning Complexity. [Citation Graph (0, 0)][DBLP]
    COLT, 1992, pp:391-398 [Conf]
  3. Yoav Freund
    Predicting a Binary Sequence Almost As Well As the Optimal Biased Coin. [Citation Graph (0, 0)][DBLP]
    COLT, 1996, pp:89-98 [Conf]
  4. Yoav Freund
    Self Bounding Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    COLT, 1998, pp:247-258 [Conf]
  5. Yoav Freund
    An Adaptive Version of the Boost by Majority Algorithm. [Citation Graph (0, 0)][DBLP]
    COLT, 1999, pp:102-113 [Conf]
  6. Yoav Freund, Yishay Mansour
    Estimating a Mixture of Two Product Distributions. [Citation Graph (0, 0)][DBLP]
    COLT, 1999, pp:53-62 [Conf]
  7. Yoav Freund, Manfred Opper
    Continuous Drifting Games. [Citation Graph (0, 0)][DBLP]
    COLT, 2000, pp:126-132 [Conf]
  8. Yoav Freund, Alon Orlitsky, Prasad Santhanam, Junan Zhang
    Universal Coding of Zipf Distributions. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:736-737 [Conf]
  9. Yoav Freund, Dana Ron
    Learning to Model Sequences Generated by Switching Distributions. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:41-50 [Conf]
  10. Yoav Freund, Robert E. Schapire
    Game Theory, On-Line Prediction and Boosting. [Citation Graph (0, 0)][DBLP]
    COLT, 1996, pp:325-332 [Conf]
  11. Yoav Freund, Robert E. Schapire
    Large Margin Classification Using the Perceptron Algorithm. [Citation Graph (0, 0)][DBLP]
    COLT, 1998, pp:209-217 [Conf]
  12. 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. [Citation Graph (0, 0)][DBLP]
    CSB, 2004, pp:152-160 [Conf]
  13. Yoav Freund, Yishay Mansour
    Learning Under Persistent Drift. [Citation Graph (0, 0)][DBLP]
    EuroCOLT, 1997, pp:109-118 [Conf]
  14. Yoav Freund, Robert E. Schapire
    A decision-theoretic generalization of on-line learning and an application to boosting. [Citation Graph (0, 0)][DBLP]
    EuroCOLT, 1995, pp:23-37 [Conf]
  15. Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire
    Gambling in a Rigged Casino: The Adversarial Multi-Arm Bandit Problem. [Citation Graph (0, 0)][DBLP]
    FOCS, 1995, pp:322-331 [Conf]
  16. 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. [Citation Graph (0, 0)][DBLP]
    FOCS, 1995, pp:332-341 [Conf]
  17. Anat Levin, Paul A. Viola, Yoav Freund
    Unsupervised Improvement of Visual Detectors using Co-Training. [Citation Graph (0, 0)][DBLP]
    ICCV, 2003, pp:626-633 [Conf]
  18. Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer
    An Efficient Boosting Algorithm for Combining Preferences. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:170-178 [Conf]
  19. Yoav Freund, Llew Mason
    The Alternating Decision Tree Learning Algorithm. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:124-133 [Conf]
  20. Yoav Freund, Robert E. Schapire
    Experiments with a New Boosting Algorithm. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:148-156 [Conf]
  21. Robert E. Schapire, Yoav Freund, Peter Barlett, Wee Sun Lee
    Boosting the margin: A new explanation for the effectiveness of voting methods. [Citation Graph (0, 0)][DBLP]
    ICML, 1997, pp:322-330 [Conf]
  22. Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie
    Predicting genetic regulatory response using classification. [Citation Graph (0, 0)][DBLP]
    ISMB/ECCB (Supplement of Bioinformatics), 2004, pp:232-240 [Conf]
  23. Yoav Freund, David Haussler
    Unsupervised Learning of Distributions of Binary Vectors Using 2-Layer Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:912-919 [Conf]
  24. Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby
    Information, Prediction, and Query by Committee. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:483-490 [Conf]
  25. Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins, Christina S. Leslie
    Motif Discovery Through Predictive Modeling of Gene Regulation. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2005, pp:538-552 [Conf]
  26. Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie
    Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response. [Citation Graph (0, 0)][DBLP]
    Regulatory Genomics, 2004, pp:1-13 [Conf]
  27. Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, David Haussler, Robert E. Schapire, Manfred K. Warmuth
    How to use expert advice. [Citation Graph (0, 0)][DBLP]
    STOC, 1993, pp:382-391 [Conf]
  28. Yoav Freund, Michael J. Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie
    Efficient learning of typical finite automata from random walks. [Citation Graph (0, 0)][DBLP]
    STOC, 1993, pp:315-324 [Conf]
  29. Yoav Freund, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth
    Using and Combining Predictors That Specialize. [Citation Graph (0, 0)][DBLP]
    STOC, 1997, pp:334-343 [Conf]
  30. Peter Kharchenko, Lifeng Chen, Yoav Freund, Dennis Vitkup, George M. Church
    Identifying metabolic enzymes with multiple types of association evidence. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:177- [Journal]
  31. Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire
    Gambling in a rigged casino: The adversarial multi-armed bandit problem [Citation Graph (0, 0)][DBLP]
    Electronic Colloquium on Computational Complexity (ECCC), 2000, v:7, n:68, pp:- [Journal]
  32. Yoav Freund
    Predicting a binary sequence almost as well as the optimal biased coin. [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 2003, v:182, n:2, pp:73-94 [Journal]
  33. Yoav Freund
    Boosting a Weak Learning Algorithm by Majority [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 1995, v:121, n:2, pp:256-285 [Journal]
  34. Yoav Freund, Michael J. Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie
    Efficient Learning of Typical Finite Automata from Random Walks. [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 1997, v:138, n:1, pp:23-48 [Journal]
  35. Nicolò Cesa-Bianchi, Yoav Freund, David Haussler, David P. Helmbold, Robert E. Schapire, Manfred K. Warmuth
    How to use expert advice. [Citation Graph (0, 0)][DBLP]
    J. ACM, 1997, v:44, n:3, pp:427-485 [Journal]
  36. Yoav Freund, Manfred Opper
    Drifting Games and Brownian Motion. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2002, v:64, n:1, pp:113-132 [Journal]
  37. Yoav Freund, Robert E. Schapire
    A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1997, v:55, n:1, pp:119-139 [Journal]
  38. Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer
    An Efficient Boosting Algorithm for Combining Preferences. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:933-969 [Journal]
  39. Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, Manfred K. Warmuth
    On-line Prediction and Conversion Strategies. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:25, n:1, pp:71-110 [Journal]
  40. Yoav Freund
    An Adaptive Version of the Boost by Majority Algorithm. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:43, n:3, pp:293-318 [Journal]
  41. Yoav Freund, Robert E. Schapire
    Large Margin Classification Using the Perceptron Algorithm. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1999, v:37, n:3, pp:277-296 [Journal]
  42. Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby
    Selective Sampling Using the Query by Committee Algorithm. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:28, n:2-3, pp:133-168 [Journal]
  43. Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire
    The Nonstochastic Multiarmed Bandit Problem. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 2002, v:32, n:1, pp:48-77 [Journal]

  44. Detecting, tracking and interacting with people in a public space. [Citation Graph (, )][DBLP]


  45. Invited talk: Drifting games, boosting and online learning. [Citation Graph (, )][DBLP]


  46. Segmentation of Nuclei on Confocal Image Stacks Using Performance Based Thresholding. [Citation Graph (, )][DBLP]


  47. Data winnowing. [Citation Graph (, )][DBLP]


  48. Learning the structure of manifolds using random projections. [Citation Graph (, )][DBLP]


  49. From Microscopy Images to Models of Cellular Processes. [Citation Graph (, )][DBLP]


  50. Random projection trees and low dimensional manifolds. [Citation Graph (, )][DBLP]


  51. A classification-based framework for predicting and analyzing gene regulatory response. [Citation Graph (, )][DBLP]


  52. ResBoost: characterizing and predicting catalytic residues in enzymes. [Citation Graph (, )][DBLP]


  53. A new Hedging algorithm and its application to inferring latent random variables [Citation Graph (, )][DBLP]


  54. A parameter-free hedging algorithm [Citation Graph (, )][DBLP]


  55. Tracking using explanation-based modeling [Citation Graph (, )][DBLP]


  56. A method for Hedging in continuous time [Citation Graph (, )][DBLP]


  57. Particle Filtering on the Audio Localization Manifold [Citation Graph (, )][DBLP]


  58. Towards automated high-throughput screening of C. elegans on agar [Citation Graph (, )][DBLP]


  59. Learning a board Balanced Scorecard to improve corporate performance. [Citation Graph (, )][DBLP]


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