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IJON
2010
99views more  IJON 2010»
13 years 3 months ago
Feature evaluation and selection based on neighborhood soft margin
Qinghua Hu, Xunjian Che, Lei Zhang 0006, Daren Yu
ICPR
2008
IEEE
14 years 6 months ago
A method of feature selection using contribution ratio based on boosting
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
Masamitsu Tsuchiya, Hironobu Fujiyoshi
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
13 years 11 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
AIPS
2004
13 years 6 months ago
An Empirical Analysis of Some Heuristic Features for Local Search in LPG
LPG is a planner that performed very well in the last International planning competition (2002). The system is based on a stochastic local search procedure, and it incorporates se...
Alfonso Gerevini, Alessandro Saetti, Ivan Serina
DIS
2010
Springer
13 years 2 months ago
Sparse Substring Pattern Set Discovery Using Linear Programming Boosting
In this paper, we consider finding a small set of substring patterns which classifies the given documents well. We formulate the problem as 1 norm soft margin optimization problem ...
Kazuaki Kashihara, Kohei Hatano, Hideo Bannai, Mas...