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ANNPR
2006
Springer
15 years 6 months ago
Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
Yusuke Torii, Shigeo Abe
111
Voted
ICML
2007
IEEE
16 years 3 months ago
Minimum reference set based feature selection for small sample classifications
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
Xue-wen Chen, Jong Cheol Jeong
175
Voted
DAM
2011
14 years 9 months ago
Optimization problems in multiple subtree graphs
We study various optimization problems in t-subtree graphs, the intersection graphs of tsubtrees, where a t-subtree is the union of t disjoint subtrees of some tree. This graph cl...
Danny Hermelin, Dror Rawitz
119
Voted
ICML
2003
IEEE
16 years 3 months ago
Exploration in Metric State Spaces
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
Sham Kakade, Michael J. Kearns, John Langford
100
Voted
EDUTAINMENT
2009
Springer
15 years 9 months ago
A Distributed Multi-agent Architecture in Simulation Based Medical Training
This paper addresses the issues of distributed interactions in a simulation based medial training environment, where a team of doctors, nurses and assistants are trained for handli...
Jun Hu, Loe M. G. Feijs