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Yoram Singer: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. William W. Cohen, Yoram Singer
    Context-sensitive Learning Methods for Text Categorization. [Citation Graph (3, 0)][DBLP]
    SIGIR, 1996, pp:307-315 [Conf]
  2. Robert E. Schapire, Yoram Singer
    BoosTexter: A Boosting-based System for Text Categorization. [Citation Graph (1, 0)][DBLP]
    Machine Learning, 2000, v:39, n:2/3, pp:135-168 [Journal]
  3. William W. Cohen, Yoram Singer
    A Simple, Fast, and Effictive Rule Learner. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1999, pp:335-342 [Conf]
  4. Hinrich Schütze, Yoram Singer
    Part-of-Speech Tagging using a Variable Memory Markov Model. [Citation Graph (0, 0)][DBLP]
    ACL, 1994, pp:181-187 [Conf]
  5. Sanjoy Dasgupta, Elan Pavlov, Yoram Singer
    An Efficient PAC Algorithm for Reconstructing a Mixture of Lines. [Citation Graph (0, 0)][DBLP]
    ALT, 2002, pp:351-364 [Conf]
  6. Raj D. Iyer, David D. Lewis, Robert E. Schapire, Yoram Singer, Amit Singhal
    Boosting for Document Routing. [Citation Graph (0, 0)][DBLP]
    CIKM, 2000, pp:70-77 [Conf]
  7. Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
    Smooth e-Intensive Regression by Loss Symmetrization. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:433-447 [Conf]
  8. Michael Collins, Robert E. Schapire, Yoram Singer
    Logistic Regression, AdaBoost and Bregman Distances. [Citation Graph (0, 0)][DBLP]
    COLT, 2000, pp:158-169 [Conf]
  9. Koby Crammer, Yoram Singer
    On the Learnability and Design of Output Codes for Multiclass Problems. [Citation Graph (0, 0)][DBLP]
    COLT, 2000, pp:35-46 [Conf]
  10. Koby Crammer, Yoram Singer
    Ultraconservative Online Algorithms for Multiclass Problems. [Citation Graph (0, 0)][DBLP]
    COLT/EuroCOLT, 2001, pp:99-115 [Conf]
  11. Koby Crammer, Yoram Singer
    Learning Algorithm for Enclosing Points in Bregmanian Spheres. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:388-402 [Conf]
  12. Koby Crammer, Yoram Singer
    Loss Bounds for Online Category Ranking. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:48-62 [Conf]
  13. Ofer Dekel, Philip M. Long, Yoram Singer
    Online Multitask Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 2006, pp:453-467 [Conf]
  14. David P. Helmbold, Yoram Singer, Robert E. Schapire, Manfred K. Warmuth
    A Comparison of New and Old Algorithms for a Mixture Estimation Problem. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:69-78 [Conf]
  15. Fernando C. N. Pereira, Yoram Singer
    An Efficient Extension to Mixture Techniques for Prediction and Decision Trees. [Citation Graph (0, 0)][DBLP]
    COLT, 1997, pp:114-121 [Conf]
  16. Dana Ron, Yoram Singer, Naftali Tishby
    Learning Probabilistic Automata with Variable Memory Length. [Citation Graph (0, 0)][DBLP]
    COLT, 1994, pp:35-46 [Conf]
  17. Dana Ron, Yoram Singer, Naftali Tishby
    On the Learnability and Usage of Acyclic Probabilistic Finite Automata. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:31-40 [Conf]
  18. Robert E. Schapire, Yoram Singer
    Improved Boosting Algorithms using Confidence-Rated Predictions. [Citation Graph (0, 0)][DBLP]
    COLT, 1998, pp:80-91 [Conf]
  19. Shai Shalev-Shwartz, Yoram Singer
    A New Perspective on an Old Perceptron Algorithm. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:264-278 [Conf]
  20. Shai Shalev-Shwartz, Yoram Singer
    Online Learning Meets Optimization in the Dual. [Citation Graph (0, 0)][DBLP]
    COLT, 2006, pp:423-437 [Conf]
  21. Erin L. Allwein, Robert E. Schapire, Yoram Singer
    Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:9-16 [Conf]
  22. Ofer Dekel, Joseph Keshet, Yoram Singer
    Large margin hierarchical classification. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  23. Michael Fink 0002, Shai Shalev-Shwartz, Yoram Singer, Shimon Ullman
    Online multiclass learning by interclass hypothesis sharing. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:313-320 [Conf]
  24. 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]
  25. David P. Helmbold, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth
    On-Line Portfolio Selection Using Multiplicative Updates. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:243-251 [Conf]
  26. Peter Ju, Leslie Pack Kaelbling, Yoram Singer
    State-based Classification of Finger Gestures from Electromyographic Signals. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:439-446 [Conf]
  27. Nir Krause, Yoram Singer
    Leveraging the margin more carefully. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  28. Shai Shalev-Shwartz, Yoram Singer, Andrew Y. Ng
    Online and batch learning of pseudo-metrics. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  29. Eleazar Eskin, William Noble Grundy, Yoram Singer
    Protein Family Classification Using Sparse Markov Transducers. [Citation Graph (0, 0)][DBLP]
    ISMB, 2000, pp:134-145 [Conf]
  30. Eleazar Eskin, William Noble Grundy, Yoram Singer
    Using mixtures of common ancestors for estimating the probabilities of discrete events in biological sequences. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2001, pp:65-73 [Conf]
  31. Shai Shalev-Shwartz, Joseph Keshet, Yoram Singer
    Learning to Align Polyphonic Music. [Citation Graph (0, 0)][DBLP]
    ISMIR, 2004, pp:- [Conf]
  32. Ofer Dekel, Joseph Keshet, Yoram Singer
    An Online Algorithm for Hierarchical Phoneme Classification. [Citation Graph (0, 0)][DBLP]
    MLMI, 2004, pp:146-158 [Conf]
  33. Kristina Toutanova, Dan Klein, Christopher D. Manning, Yoram Singer
    Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. [Citation Graph (0, 0)][DBLP]
    HLT-NAACL, 2003, pp:- [Conf]
  34. Ehud Ben-Reuven, Yoram Singer
    Discriminative Binaural Sound Localization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1229-1236 [Conf]
  35. Yoshua Bengio, Samy Bengio, Jean-Franc Isabelle, Yoram Singer
    Shared Context Probabilistic Transducers. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  36. William W. Cohen, Robert E. Schapire, Yoram Singer
    Learning to Order Things. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  37. Koby Crammer, Joseph Keshet, Yoram Singer
    Kernel Design Using Boosting. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:537-544 [Conf]
  38. Koby Crammer, Jaz S. Kandola, Yoram Singer
    Online Classification on a Budget. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  39. Koby Crammer, Yoram Singer
    Improved Output Coding for Classification Using Continuous Relaxation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:437-443 [Conf]
  40. Koby Crammer, Yoram Singer
    Pranking with Ranking. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:641-647 [Conf]
  41. Ofer Dekel, Christopher D. Manning, Yoram Singer
    Log-Linear Models for Label Ranking. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  42. Ofer Dekel, Yoram Singer
    Multiclass Learning by Probabilistic Embeddings. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:945-952 [Conf]
  43. Ofer Dekel, Yoram Singer
    Data-Driven Online to Batch Conversions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  44. Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
    The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  45. Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
    The Forgetron: A Kernel-Based Perceptron on a Fixed Budget. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  46. Nir Friedman, Yoram Singer
    Efficient Bayesian Parameter Estimation in Large Discrete Domains. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:417-423 [Conf]
  47. Dana Ron, Yoram Singer, Naftali Tishby
    The Power of Amnesia. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:176-183 [Conf]
  48. Lavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaadia, Yoram Singer
    A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  49. Lavi Shpigelman, Yoram Singer, Rony Paz, Eilon Vaadia
    Spikernels: Embedding Spiking Neurons in Inner-Product Spaces. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:125-132 [Conf]
  50. Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yoram Singer
    Online Passive-Aggressive Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  51. Yoram Singer
    Adaptive Mixture of Probabilistic Transducers. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:381-387 [Conf]
  52. Yoram Singer
    Leveraged Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:610-616 [Conf]
  53. Yoram Singer, Naftali Tishby
    Decoding Cursive Scripts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:833-840 [Conf]
  54. Yoram Singer, Manfred K. Warmuth
    Training Algorithms for Hidden Markov Models using Entropy Based Distance Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:641-647 [Conf]
  55. Yoram Singer, Manfred K. Warmuth
    Batch and On-Line Parameter Estimation of Gaussian Mixtures Based on the Joint Entropy. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:578-584 [Conf]
  56. Koby Crammer, Yoram Singer
    A new family of online algorithms for category ranking. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2002, pp:151-158 [Conf]
  57. Robert E. Schapire, Yoram Singer, Amit Singhal
    Boosting and Rocchio Applied to Text Filtering. [Citation Graph (0, 0)][DBLP]
    SIGIR, 1998, pp:215-223 [Conf]
  58. Shai Shalev-Shwartz, Shlomo Dubnov, Nir Friedman, Yoram Singer
    Robust temporal and spectral modeling for query By melody. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2002, pp:331-338 [Conf]
  59. 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]
  60. Eric Bauer, Daphne Koller, Yoram Singer
    Update Rules for Parameter Estimation in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 1997, pp:3-13 [Conf]
  61. Yoram Singer
    Switching Portfolios. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:488-495 [Conf]
  62. Fernando C. N. Pereira, Yoram Singer, Naftali Tishby
    Beyond Word N-Grams [Citation Graph (0, 0)][DBLP]
    CoRR, 1996, v:0, n:, pp:- [Journal]
  63. Yoram Singer
    Switching Portfolios. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1997, v:8, n:4, pp:445-455 [Journal]
  64. William W. Cohen, Robert E. Schapire, Yoram Singer
    Learning to Order Things. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1999, v:10, n:, pp:243-270 [Journal]
  65. Eleazar Eskin, William Stafford Noble, Yoram Singer
    Using Substitution Matrices to Estimate Probability Distributions for Biological Sequences. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2002, v:9, n:6, pp:775-792 [Journal]
  66. Eleazar Eskin, William Stafford Noble, Yoram Singer
    Protein Family Classification Using Sparse Markov Transducers. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2003, v:10, n:2, pp:187-214 [Journal]
  67. Dana Ron, Yoram Singer, Naftali Tishby
    On the Learnability and Usage of Acyclic Probabilistic Finite Automata. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1998, v:56, n:2, pp:133-152 [Journal]
  68. Erin L. Allwein, Robert E. Schapire, Yoram Singer
    Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2000, v:1, n:, pp:113-141 [Journal]
  69. Koby Crammer, Yoram Singer
    A Family of Additive Online Algorithms for Category Ranking. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:3, n:, pp:1025-1058 [Journal]
  70. 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]
  71. Koby Crammer, Yoram Singer
    On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2001, v:2, n:, pp:265-292 [Journal]
  72. Koby Crammer, Yoram Singer
    Ultraconservative Online Algorithms for Multiclass Problems. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:3, n:, pp:951-991 [Journal]
  73. Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
    Smooth epsiloon-Insensitive Regression by Loss Symmetrization. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:711-741 [Journal]
  74. Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer
    Online Passive-Aggressive Algorithms. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:551-585 [Journal]
  75. Shai Shalev-Shwartz, Yoram Singer
    Efficient Learning of Label Ranking by Soft Projections onto Polyhedra. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1567-1599 [Journal]
  76. Michael Collins, Robert E. Schapire, Yoram Singer
    Logistic Regression, AdaBoost and Bregman Distances. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:48, n:1-3, pp:253-285 [Journal]
  77. Koby Crammer, Yoram Singer
    On the Learnability and Design of Output Codes for Multiclass Problems. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:47, n:2-3, pp:201-233 [Journal]
  78. Shai Fine, Yoram Singer, Naftali Tishby
    The Hierarchical Hidden Markov Model: Analysis and Applications. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1998, v:32, n:1, pp:41-62 [Journal]
  79. David P. Helmbold, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth
    A Comparison of New and Old Algorithms for a Mixture Estimation Problem. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:27, n:1, pp:97-119 [Journal]
  80. Fernando C. N. Pereira, Yoram Singer
    An Efficient Extension to Mixture Techniques for Prediction and Decision Trees. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1999, v:36, n:3, pp:183-199 [Journal]
  81. Dana Ron, Yoram Singer, Naftali Tishby
    The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:25, n:2-3, pp:117-149 [Journal]
  82. Yoram Singer
    Guest Editor's Introduction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:43, n:3, pp:71-172 [Journal]
  83. Robert E. Schapire, Yoram Singer
    Improved Boosting Algorithms Using Confidence-rated Predictions. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1999, v:37, n:3, pp:297-336 [Journal]
  84. Koby Crammer, Yoram Singer
    Online Ranking by Projecting. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2005, v:17, n:1, pp:145-175 [Journal]
  85. Lavi Shpigelman, Yoram Singer, Rony Paz, Eilon Vaadia
    Spikernels: Predicting Arm Movements by Embedding Population Spike Rate Patterns in Inner-Product Spaces. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2005, v:17, n:3, pp:671-690 [Journal]
  86. Yoram Singer
    Adaptive Mixtures of Probabilistic Transducers. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:8, pp:1711-1733 [Journal]
  87. William W. Cohen, Yoram Singer
    Context-Sensitive Learning Methods for Text Categorization. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 1999, v:17, n:2, pp:141-173 [Journal]
  88. Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro
    Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:807-814 [Conf]
  89. Shai Shalev-Shwartz, Yoram Singer
    Convex Repeated Games and Fenchel Duality. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1265-1272 [Conf]
  90. Ofer Dekel, Yoram Singer
    Support Vector Machines on a Budget. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:345-352 [Conf]
  91. Andrea Frome, Yoram Singer, Jitendra Malik
    Image Retrieval and Classification Using Local Distance Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:417-424 [Conf]
  92. Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
    Online Classification for Complex Problems Using Simultaneous Projections. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:17-24 [Conf]

  93. On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms. [Citation Graph (, )][DBLP]


  94. Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification. [Citation Graph (, )][DBLP]


  95. Efficient projections onto the l1-ball for learning in high dimensions. [Citation Graph (, )][DBLP]


  96. Boosting with structural sparsity. [Citation Graph (, )][DBLP]


  97. Dynamical encoding of cursive handwriting. [Citation Graph (, )][DBLP]


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