COLT 2003 - PDF Preprint Papers

COLT 2003 Annual Workshop on Computational Learning Theory

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COLT
2003
Springer

172views Machine Learning» more COLT 2003»

Learning from Uncertain Data

13 years 9 months ago

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The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this �...

Mehryar Mohri

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Id	Views	Title	Status

1	172	Learning from Uncertain Data	claim
2	161	Boosting with Diverse Base Classifiers	claim
3	146	A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria	claim
4	144	On Finding Large Conjunctive Clusters	claim
5	141	On-Line Learning with Imperfect Monitoring	claim
6	130	Maximum Margin Algorithms with Boolean Kernels	claim
7	125	Internal Regret in On-Line Portfolio Selection	claim
8	121	Lower Bounds on the Sample Complexity of Exploration in the Multi-armed Bandit Problem	claim
9	119	Learning with Rigorous Support Vector Machines	claim
10	114	Learning with Equivalence Constraints and the Relation to Multiclass Learning	claim
11	114	Robust Regression by Boosting the Median	claim
12	113	Kernels and Regularization on Graphs	claim
13	111	Preference Elicitation and Query Learning	claim
14	111	Sequence Prediction Based on Monotone Complexity	claim
15	109	Projective DNF Formulae and Their Revision	claim
16	104	Learning Random Log-Depth Decision Trees under the Uniform Distribution	claim
17	100	An Open Problem Regarding the Convergence of Universal A Priori Probability	claim
18	99	Efficient Algorithms for Online Decision Problems	claim
19	98	Fast Kernels for Inexact String Matching	claim
20	96	Positive Definite Rational Kernels	claim
21	90	Learning All Subfunctions of a Function	claim
22	84	Generality's Price: Inescapable Deficiencies in Machine-Learned Programs	claim
23	77	On Learning to Coordinate: Random Bits Help, Insightful Normal Forms, and Competency Isomorphisms	claim

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