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» Tuning SVM parameters by using a hybrid CLPSO-BFGS algorithm
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JSAT
2008
99views more  JSAT 2008»
13 years 5 months ago
A Switching Criterion for Intensification and Diversification in Local Search for SAT
We propose a new switching criterion, namely the evenness or unevenness of the distribution of variable weights, and use this criterion to combine intensification and diversificat...
Wanxia Wei, Chu Min Li, Harry Zhang
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 9 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
ARTCOM
2009
IEEE
14 years 3 days ago
ANFIS Approach for Navigation of Mobile Robots
— This paper, discusses about navigation control of mobile robot using adaptive neuro-fuzzy inference system (ANFIS) in a real word dynamic environment. In the ANFIS controller a...
Mukesh Kumar Singh, Dayal R. Parhi, Jayanta Kumar ...
CIKM
2009
Springer
13 years 12 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua
CEC
2010
IEEE
13 years 6 months ago
Learning-assisted evolutionary search for scalable function optimization: LEM(ID3)
Inspired originally by the Learnable Evolution Model(LEM) [5], we investigate LEM(ID3), a hybrid of evolutionary search with ID3 decision tree learning. LEM(ID3) involves interleav...
Guleng Sheri, David Corne