Papers
184,605 papers found
On the Importance of Small Coordinate Projections
Shahar Mendelson, Petra Philips
PAC-learnability of Probabilistic Deterministic Finite State Automata
Alexander Clark, Franck Thollard
Preference Elicitation and Query Learning
Avrim Blum, Jeffrey Jackson, Tuomas Sandholm et al.
Probability Estimates for Multi-class Classification by Pairwise Coupling
Ting-Fan Wu, Chih-Jen Lin, Ruby C. Weng
Probability Product Kernels
Tony Jebara, Risi Kondor, Andrew Howard
Randomized Variable Elimination
David J. Stracuzzi, Paul E. Utgoff
Rational Kernels: Theory and Algorithms
Corinna Cortes, Patrick Haffner, Mehryar Mohri
RCV1: A New Benchmark Collection for Text Categorization Research
David D. Lewis, Yiming Yang, Tony G. Rose et al.
Reinforcement Learning with Factored States and Actions
Brian Sallans, Geoffrey E. Hinton
Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters
Isao Higuchi, Shinto Eguchi
Second Order Cone Programming Formulations for Feature Selection
Chiranjib Bhattacharyya
Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees
Matti Kääriäinen, Tuomo Malinen, Tapio Elomaa
Some Dichotomy Theorems for Neural Learning Problems
Michael Schmitt
Some Properties of Regularized Kernel Methods
Ernesto De Vito, Lorenzo Rosasco, Andrea Caponnetto et al.
Sources of Success for Boosted Wrapper Induction
David Kauchak, Joseph Smarr, Charles Elkan
Subgroup Discovery with CN2-SD
Nada Lavrač, Branko Kavšek, Peter Flach et al.
Support Vector Machine Soft Margin Classifiers: Error Analysis
Di-Rong Chen, Qiang Wu, Yiming Ying et al.
The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins
Cynthia Rudin, Ingrid Daubechies, Robert E. Schapire
The Entire Regularization Path for the Support Vector Machine
Trevor Hastie, Saharon Rosset, Robert Tibshirani et al.
The Minimum Error Minimax Probability Machine
Kaizhu Huang, Haiqin Yang, Irwin King et al.
The Sample Complexity of Exploration in the Multi-Armed Bandit Problem
Shie Mannor, John N. Tsitsiklis
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Evan Greensmith, Peter L. Bartlett, Jonathan Baxter
Weather Data Mining Using Independent Component Analysis
Jayanta Basak, Anant Sudarshan, Deepak Trivedi et al.
A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Kumar