Papers
Separating Models of Learning from Correlated and Uncorrelated Data
Ariel Elbaz, Homin K. Lee, Rocco A. Servedio et al.
Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results
Peter L. Bartlett, Ambuj Tewari
Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification
Onur C. Hamsici, Aleix M. Martinez
Stagewise Lasso
Peng Zhao, Bin Yu
Statistical Consistency of Kernel Canonical Correlation Analysis
Kenji Fukumizu, Francis R. Bach, Arthur Gretton
Structure and Majority Classes in Decision Tree Learning
Ray J. Hickey
Synergistic Face Detection and Pose Estimation with Energy-Based Models
Margarita Osadchy, Yann Le Cun, Matthew L. Miller
The Locally Weighted Bag of Words Framework for Document Representation
Guy Lebanon, Yi Mao, Joshua Dillon
The Need for Open Source Software in Machine Learning
Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong et al.
The On-Line Shortest Path Problem Under Partial Monitoring
András György, Tamás Linder, Gábor Lugosi et al.
The Pyramid Match Kernel: Efficient Learning with Sets of Features
Kristen Grauman, Trevor Darrell
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning
Matthew E. Taylor, Peter Stone, Yaxin Liu
Truncating the Loop Series Expansion for Belief Propagation
Vicenç Gómez, Joris M. Mooij, Hilbert J. Kappen
Undercomplete Blind Subspace Deconvolution
Zoltán Szabó, Barnabás Póczos, András Lő
Unlabeled Compression Schemes for Maximum Classes
Dima Kuzmin, Manfred K. Warmuth
Value Regularization and Fenchel Duality
Ryan M. Rifkin, Ross A. Lippert
VC Theory of Large Margin Multi-Category Classifiers
Yann Guermeur
Very Fast Online Learning of Highly Non Linear Problems
Aggelos Chariatis
Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems
Eyal Even-Dar, Shie Mannor, Yishay Mansour
Active Learning with Feedback on Features and Instances
Hema Raghavan, Omid Madani, Rosie Jones
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
Fu Chang, Chin-Chin Lin, Chi-Jen Lu
A Direct Method for Building Sparse Kernel Learning Algorithms
Mingrui Wu, Bernhard Schölkopf, Gökhan Bakir
A Graphical Representation of Equivalence Classes of AMP Chain Graphs
Alberto Roverato, Milan Studený