Papers
176,624 papers found
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
Structured Learning with Approximate Inference
Alex Kulesza, Fernando Pereira
Subspace-Based Face Recognition in Analog VLSI
Gonzalo Carvajal, Waldo Valenzuela, Miguel Figueroa
Supervised Topic Models
Jon D. Mcauliffe, David M. Blei
Support Vector Machine Classification with Indefinite Kernels
Ronny Luss, Alexandre D'aspremont
Synergistic Face Detection and Pose Estimation with Energy-Based Models
Margarita Osadchy, Yann Le Cun, Matthew L. Miller
Synthesis of Constrained nR Planar Robots to Reach Five Task Positions
Gim Song Soh and J. Michael McCarthy
Temporal Difference Updating without a Learning Rate
Marcus Hutter, Shane Legg
Testing for Homogeneity with Kernel Fisher Discriminant Analysis
Moulines Eric, Francis R. Bach, Zaïd Harchaoui
The CALO Meeting Assistant
L. Lynn Voss, Patrick Ehlen
The discriminant center-surround hypothesis for bottom-up saliency
Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos
The Distribution Family of Similarity Distances
Gertjan Burghouts, Arnold Smeulders, Jan-mark Geusebroek
The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information
John Langford, Tong Zhang
The Generalized FITC Approximation
Andrew Naish-guzman, Sean Holden
The Infinite Gamma-Poisson Feature Model
Michalis K. Titsias
The Infinite Markov Model
Daichi Mochihashi, Eiichiro Sumita
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 Noisy-Logical Distribution and its Application to Causal Inference
Alan L. Yuille, Hongjing Lu
The On-Line Shortest Path Problem Under Partial Monitoring
András György, Tamás Linder, Gábor Lugosi et al.
Theoretical Analysis of Heuristic Search Methods for Online POMDPs
Stephane Ross, Joelle Pineau, Brahim Chaib-draa
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
Dejan Pecevski, Wolfgang Maass, Robert A. Legenstein
The Price of Bandit Information for Online Optimization
Varsha Dani, Sham M. Kakade, Thomas P. Hayes
The Pyramid Match Kernel: Efficient Learning with Sets of Features
Kristen Grauman, Trevor Darrell