Papers
172,654 papers found
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods
Giorgio Valentini, Thomas G. Dietterich
Boosting as a Regularized Path to a Maximum Margin Classifier
Saharon Rosset, Ji Zhu, Trevor Hastie
Computable Shell Decomposition Bounds
John Langford, David McAllester
Condition of Projectivity in the Underlying Dependency Structures
Kateřina Veselá, Jiří Havelka, Eva Hajičová
Distance-Based Classification with Lipschitz Functions
Ulrike von Luxburg, Olivier Bousquet
Efficient Feature Selection via Analysis of Relevance and Redundancy
Lei Yu, Huan Liu
Exact Bayesian Structure Discovery in Bayesian Networks
Mikko Koivisto, Kismat Sood
Fast Binary Feature Selection with Conditional Mutual Information
François Fleuret
Fast String Kernels using Inexact Matching for Protein Sequences
Christina Leslie, Rui Kuang
Feature Discovery in Non-Metric Pairwise Data
Julian Laub, Klaus-Robert Müller
Feature Selection for Unsupervised Learning
Jennifer G. Dy, Carla E. Brodley
Generalization Error Bounds for Threshold Decision Lists
Martin Anthony
Hierarchical Latent Class Models for Cluster Analysis
Nevin L. Zhang
Image Categorization by Learning and Reasoning with Regions
Yixin Chen, James Z. Wang
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