Papers
Learning to Select Features using their Properties
Eyal Krupka, Amir Navot, Naftali Tishby
Probabilistic Characterization of Random Decision Trees
Amit Dhurandhar, Alin Dobra
Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension
Manfred K. Warmuth, Dima Kuzmin
Finding Optimal Bayesian Network Given a Super-Structure
Eric Perrier, Seiya Imoto, Satoru Miyano
Forecasting Web Page Views: Methods and Observations
Jia Li, Andrew W. Moore
Ranking Individuals by Group Comparisons
Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng
A Moment Bound for Multi-hinge Classifiers
Bernadetta Tarigan, Sara A. van de Geer
HPB: A Model for Handling BN Nodes with High Cardinality Parents
Jorge Jambeiro Filho, Jacques Wainer
Gradient Tree Boosting for Training Conditional Random Fields
Thomas G. Dietterich, Guohua Hao, Adam Ashenfelter
Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management
Abraham George, Warren B. Powell, Sanjeev R. Kulkarni
Approximations for Binary Gaussian Process Classification
Hannes Nickisch, Carl Edward Rasmussen
Consistency of Random Forests and Other Averaging Classifiers
Gérard Biau, Luc Devroye, Gábor Lugosi
Mixed Membership Stochastic Blockmodels
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg et al.
Complete Identification Methods for the Causal Hierarchy
Ilya Shpitser, Judea Pearl
Manifold Learning: The Price of Normalization
Yair Goldberg, Alon Zakai, Dan Kushnir et al.
On Relevant Dimensions in Kernel Feature Spaces
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller
LIBLINEAR: A Library for Large Linear Classification
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh et al.
Learning Balls of Strings from Edit Corrections
Leonor Becerra-Bonache, Colin de la Higuera, Jean-Christophe Janodet et al.
Classification with a Reject Option using a Hinge Loss
Peter L. Bartlett, Marten H. Wegkamp
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Michael Collins, Amir Globerson, Terry Koo et al.
Learning from Multiple Sources
Koby Crammer, Michael Kearns, Jennifer Wortman
Regularization on Graphs with Function-adapted Diffusion Processes
Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman
Value Function Based Reinforcement Learning in Changing Markovian Environments
Balázs Csanád Csáji, László Monostori
A New Algorithm for Estimating the Effective Dimension-Reduction Subspace
Arnak S. Dalalyan, Anatoly Juditsky, Vladimir Spokoiny