Papers
A Stochastic Algorithm for Feature Selection in Pattern Recognition
Sébastien Gadat, Laurent Younes
Integrating Naïve Bayes and FOIL
Niels Landwehr, Kristian Kersting, Luc De Raedt
Value Regularization and Fenchel Duality
Ryan M. Rifkin, Ross A. Lippert
Boosted Classification Trees and Class Probability/Quantile Estimation
David Mease, Abraham J. Wyner, Andreas Buja
Learning Equivariant Functions with Matrix Valued Kernels
Marco Reisert, Hans Burkhardt
Statistical Consistency of Kernel Canonical Correlation Analysis
Kenji Fukumizu, Francis R. Bach, Arthur Gretton
Dynamics and Generalization Ability of LVQ Algorithms
Michael Biehl, Anarta Ghosh, Barbara Hammer
General Polynomial Time Decomposition Algorithms
Nikolas List, Hans Ulrich Simon
Comments on the “Core Vector Machines: Fast SVM Training on Very Large Data Sets"
Gaëlle Loosli, Stéphane Canu
Separating Models of Learning from Correlated and Uncorrelated Data
Ariel Elbaz, Homin K. Lee, Rocco A. Servedio et al.
Learnability of Gaussians with Flexible Variances
Yiming Ying, Ding-Xuan Zhou
Noise Tolerant Variants of the Perceptron Algorithm
Roni Khardon, Gabriel Wachman
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians
Sanjoy Dasgupta, Leonard Schulman
Building Blocks for Variational Bayesian Learning of Latent Variable Models
Tapani Raiko, Harri Valpola, Markus Harva et al.
Distances between Data Sets Based on Summary Statistics
Nikolaj Tatti
Minimax Regret Classifier for Imprecise Class Distributions
Rocío Alaiz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro
Multi-Task Learning for Classification with Dirichlet Process Priors
Ya Xue, Xuejun Liao, Lawrence Carin et al.
Nonlinear Boosting Projections for Ensemble Construction
Nicolás García-Pedrajas, César García-Osorio, Colin Fyfe
Multilingual Deterministic Dependency Parsing Framework using Modified Finite Newton Method Support Vector Machines
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee
Adapting the RASP System for the CoNLL07 Domain-Adaptation Task
Rebecca Watson, Ted Briscoe
Structural Correspondence Learning for Dependency Parsing
Nobuyuki Shimizu, Hiroshi Nakagawa
Pro3Gres Parser in the CoNLL Domain Adaptation Shared Task
Gerold Schneider, Kaarel Kaljurand, Fabio Rinaldi et al.
Global Learning of Labeled Dependency Trees
Michael Schiehlen, Kristina Spranger
A Multilingual Dependency Analysis System Using Online Passive-Aggressive Learning
Le-Minh Nguyen, Akira Shimazu, Phuong-Thai Nguyen et al.