Papers
176,624 papers found
In Defense of One-Vs-All Classification
Ryan Rifkin, Aldebaro Klautau
Knowledge-Based Kernel Approximation
Olvi L. Mangasarian, Jude W. Shavlik, Edward W. Wild
Large-Sample Learning of Bayesian Networks is NP-Hard
David Maxwell Chickering, David Heckerman, Christopher Meek
Learning Ensembles from Bites: A Scalable and Accurate Approach
Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer et al.
Learning the Kernel Matrix with Semidefinite Programming
Gert R.G. Lanckriet, Nello Cristianini, Peter Bartlett et al.
Lossless Online Bayesian Bagging
Herbert K. H. Lee, Merlise A. Clyde
Model Averaging for Prediction with Discrete Bayesian Networks
Denver Dash, Gregory F. Cooper
Non-negative Matrix Factorization with Sparseness Constraints
Patrik O. Hoyer
No Unbiased Estimator of the Variance of K-Fold Cross-Validation
Yoshua Bengio, Yves Grandvalet
Online Choice of Active Learning Algorithms
Yoram Baram, Ran El Yaniv, Kobi Luz
On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition
Andreas Christmann, Ingo Steinwart
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
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