Papers
176,624 papers found
Round Robin Classification
Johannes Fürnkranz
Shallow Parsing using Specialized HMMs
Antonio Molina, Ferran Pla
Shallow Parsing with PoS Taggers and Linguistic Features
Beáta Megyesi
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
Prasanth B. Nair, Arindam Choudhury, Andy J. Keane
Stability and Generalization
Olivier Bousquet, André Elisseeff
Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem
Marc Sebban, Richard Nock, Stéphane Lallich
Text Chunking based on a Generalization of Winnow
Tong Zhang, Fred Damerau, David Johnson
Text Classification using String Kernels
Huma Lodhi, Craig Saunders, John Shawe-Taylor et al.
The Learning-Curve Sampling Method Applied to Model-Based Clustering
Christopher Meek, Bo Thiesson, David Heckerman
The Representational Power of Discrete Bayesian Networks
Charles X. Ling, Huajie Zhang
The Set Covering Machine
Mario Marchand, John Shawe-Taylor
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
Masashi Sugiyama, Klaus-Robert Müller
Tracking a Small Set of Experts by Mixing Past Posteriors
Olivier Bousquet, Manfred K. Warmuth
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components
Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
ε-MDPs: Learning in Varying Environments
István Szita, Bálint Takács, András Lörincz
A Generalized Kernel Approach to Dissimilarity-based Classification
Elzbieta Pekalska, Pavel Paclik, Robert P.W. Duin
A New Approximate Maximal Margin Classification Algorithm
Claudio Gentile
Bayes Point Machines
Ralf Herbrich, Thore Graepel, Colin Campbell
Class-Based Probability Estimation Using a Semantic Hierarchy
Stephen Clark, David Weir
Corpus Variation and Parser Performance
Daniel Gildea
Efficient SVM Training Using Low-Rank Kernel Representations
Shai Fine, Katya Scheinberg
Exact Simplification of Support Vector Solutions
Tom Downs, Kevin E. Gates, Annette Masters