Papers
Bilinear Discriminant Component Analysis
Mads Dyrholm, Christoforos Christoforou, Lucas C. Parra
Undercomplete Blind Subspace Deconvolution
Zoltán Szabó, Barnabás Póczos, András Lő
On the Consistency of Multiclass Classification Methods
Ambuj Tewari, Peter L. Bartlett
Covariate Shift Adaptation by Importance Weighted Cross Validation
Masashi Sugiyama, Matthias Krauledat, Klaus-Robert Müller
Classification in Networked Data: A Toolkit and a Univariate Case Study
Sofus A. Macskassy, Foster Provost
Anytime Learning of Decision Trees
Saher Esmeir, Shaul Markovitch
Combining PAC-Bayesian and Generic Chaining Bounds
Jean-Yves Audibert, Olivier Bousquet
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters
Gavin C. Cawley, Nicola L. C. Talbot
Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression
Shantanu Chakrabartty, Gert Cauwenberghs
Concave Learners for Rankboost
Ofer Melnik, Yehuda Vardi, Cun-Hui Zhang
Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results
Peter L. Bartlett, Ambuj Tewari
Infinitely Imbalanced Logistic Regression
Art B. Owen
The Pyramid Match Kernel: Efficient Learning with Sets of Features
Kristen Grauman, Trevor Darrell
Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data
Charles Sutton, Andrew McCallum, Khashayar Rohanimanesh
Relational Dependency Networks
Jennifer Neville, David Jensen
Margin Trees for High-dimensional Classification
Robert Tibshirani, Trevor Hastie
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm
Markus Kalisch, Peter Bühlmann
Consistent Feature Selection for Pattern Recognition in Polynomial Time
Roland Nilsson, José M. Peña, Johan Björkegren et al.
Learning Horn Expressions with LOGAN-H
Marta Arias, Roni Khardon, Jérôme Maloberti
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