Papers
172,654 papers found
Maximum Margin Algorithms with Boolean Kernels
Roni Khardon, Rocco A. Servedio
Multiclass Boosting for Weak Classifiers
Günther Eibl, Karl-Peter Pfeiffer
Multiclass Classification with Multi-Prototype Support Vector Machines
Fabio Aiolli, Alessandro Sperduti
New Horn Revision Algorithms
Judy Goldsmith, Robert H. Sloan
On Correlating Sonar Images
Richard J. Rikoski, J. Tory Cobb, Daniel C. Brown
On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning
Petros Drineas, Michael W. Mahoney
Prioritization Methods for Accelerating MDP Solvers
David Wingate, Kevin D. Seppi
Semigroup Kernels on Measures
Marco Cuturi, Kenji Fukumizu, Jean-Philippe Vert
Separating a Real-Life Nonlinear Image Mixture
Luís B. Almeida
Smooth ε-Insensitive Regression by Loss Symmetrization
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
Square Root SAM
Frank Dellaert
Stability of Randomized Learning Algorithms
Andre Elisseeff, Theodoros Evgeniou, Massimiliano Pontil
Time Complexity of Sensor-Based Vehicle Routing
Vikrant Sharma, Michael Savchenko, Emilio Frazzoli et al.
Toward Optimal Configuration Space Sampling
Brendan Burns, Oliver Brock
Tree-Based Batch Mode Reinforcement Learning
Damien Ernst, Pierre Geurts, Louis Wehenkel
Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions
Peter Binev, Albert Cohen, Wolfgang Dahmen et al.
Variational Message Passing
John Winn, Christopher M. Bishop
What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks
Weng-Keen Wong, Andrew Moore, Gregory Cooper et al.
Working Set Selection Using Second Order Information for Training Support Vector Machines
Rong-En Fan, Pai-Hsuen Chen, Chih-Jen Lin
A Compression Approach to Support Vector Model Selection
Ulrike von Luxburg, Olivier Bousquet, Bernhard
Schölkopf
A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation
Andreas Ziehe, Pavel Laskov, Guido Nolte et al.
A Geometric Approach to Multi-Criterion Reinforcement Learning
Shie Mannor, Nahum Shimkin