Papers
173,579 papers found
Stability of Randomized Learning Algorithms
Andre Elisseeff, Theodoros Evgeniou, Massimiliano Pontil
Supervised and Unsupervised Learning for Sentence Compression
Jenine Turner, Eugene Charniak
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
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods
Giorgio Valentini, Thomas G. Dietterich
Boosting as a Regularized Path to a Maximum Margin Classifier
Saharon Rosset, Ji Zhu, Trevor Hastie
Computable Shell Decomposition Bounds
John Langford, David McAllester
Condition of Projectivity in the Underlying Dependency Structures
Kateřina Veselá, Jiří Havelka, Eva Hajičová
Construction of Conceptual Graph Representation of Texts
Svetlana Hensman
Distance-Based Classification with Lipschitz Functions
Ulrike von Luxburg, Olivier Bousquet
Efficient Feature Selection via Analysis of Relevance and Redundancy
Lei Yu, Huan Liu
Exact Bayesian Structure Discovery in Bayesian Networks
Mikko Koivisto, Kismat Sood
Fast Binary Feature Selection with Conditional Mutual Information
François Fleuret
Fast String Kernels using Inexact Matching for Protein Sequences
Christina Leslie, Rui Kuang
Feature Discovery in Non-Metric Pairwise Data
Julian Laub, Klaus-Robert Müller