Conferences in DBLP
Claudio Gentile , Nick Littlestone The Robustness of the p -Norm Algorithms. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:1-11 [Conf ] Nicolò Cesa-Bianchi , Gábor Lugosi Minimax Regret Under log Loss for General Classes of Experts. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:12-18 [Conf ] Tsachy Weissman , Neri Merhav On Prediction of Individual Sequences Relative to a Set of Experts in the Presence of Noise. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:19-28 [Conf ] Geoffrey J. Gordon Regret Bounds for Prediction Problems. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:29-40 [Conf ] Robert H. Sloan , György Turán On Theory Revision with Queries. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:41-52 [Conf ] Yoav Freund , Yishay Mansour Estimating a Mixture of Two Product Distributions. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:53-62 [Conf ] Stephen Kwek An Apprentice Learning Model (extended abstract). [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:63-74 [Conf ] Nader H. Bshouty , Jeffrey C. Jackson , Christino Tamon Uniform-Distribution Attribute Noise Learnability. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:75-80 [Conf ] Nader H. Bshouty , David K. Wilson On Learning in the Presence of Unspecified Attribute Values. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:81-87 [Conf ] Paul W. Goldberg Learning Fixed-Dimension Linear Thresholds from Fragmented Data. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:88-99 [Conf ] David B. Shmoys Approximation Algorithms for Clustering Problems. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:100-102 [Conf ] Yoav Freund An Adaptive Version of the Boost by Majority Algorithm. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:102-113 [Conf ] Robert E. Schapire Drifting Games. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:114-124 [Conf ] John D. Lafferty Additive Models, Boosting, and Inference for Generalized Divergences. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:125-133 [Conf ] Jyrki Kivinen , Manfred K. Warmuth Boosting as Entropy Projection. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:134-144 [Conf ] Venkatesan Guruswami , Amit Sahai Multiclass Learning, Boosting, and Error-Correcting Codes. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:145-155 [Conf ] Tong Zhang Theoretical Analysis of a Class of Randomized Regularization Methods. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:156-163 [Conf ] David A. McAllester PAC-Bayesian Model Averaging. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:164-170 [Conf ] Peter Grünwald Viewing all Models as ``Probabilistic''. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:171-182 [Conf ] Yishay Mansour Reinforcement Learning and Mistake Bounded Algorithms. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:183-192 [Conf ] Vladislav Tadic Convergence Analysis of Temporal-Difference Learning Algorithms with Linear Function Approximation. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:193-202 [Conf ] Avrim Blum , Adam Kalai , John Langford Beating the Hold-Out: Bounds for K-fold and Progressive Cross-Validation. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:203-208 [Conf ] John Langford , Avrim Blum Microchoice Bounds and Self Bounding Learning Algorithms. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:209-214 [Conf ] Atsuyoshi Nakamura Learning Specialist Decision Lists. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:215-225 [Conf ] Yuri Kalnishkan Linear Relations between Square-Loss and Kolmogorov Complexity. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:226-232 [Conf ] Chamy Allenberg Individual Sequence Prediction - Upper Bounds and Application for Complexity. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:233-242 [Conf ] Sebastiaan Terwijn Extensional Set Learning (extended abstract). [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:243-248 [Conf ] Sanjay Jain , Arun Sharma On a Generalized Notion of Mistake Bounds. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:249-256 [Conf ] Efim B. Kinber , Christophe Papazian , Carl H. Smith , Rolf Wiehagen On the Intrinsic Complexity of Learning Recursive Functions. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:257-266 [Conf ] Ying Guo , Peter L. Bartlett , John Shawe-Taylor , Robert C. Williamson Covering Numbers for Support Vector Machines. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:267-277 [Conf ] John Shawe-Taylor , Nello Cristianini Further Results on the Margin Distribution. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:278-285 [Conf ] Nader H. Bshouty , Jeffrey C. Jackson , Christino Tamon More Efficient PAC-Learning of DNF with Membership Queries Under the Uniform Distribution. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:286-295 [Conf ] Rocco A. Servedio On PAC Learning Using Winnow, Perceptron, and a Perceptron-like Algorithm. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:296-307 [Conf ] David Gamarnik Extension of the PAC Framework to Finite and Countable Markov Chains. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:308-317 [Conf ] Elias Abboud , Nader Agha , Nader H. Bshouty , Nizar Radwan , Fathi Saleh Learning Threshold Functions with Small Weights Using Membership Queries. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:318-322 [Conf ] Thomas R. Amoth , Paul Cull , Prasad Tadepalli Exact Learning of Unordered Tree Patterns from Queries. [Citation Graph (0, 0)][DBLP ] COLT, 1999, pp:323-332 [Conf ]