Sciweavers

206 search results - page 4 / 42
» Evolutionary Support Vector Regression Machines
Sort
View
ICML
2005
IEEE
16 years 13 days ago
Core Vector Regression for very large regression problems
In this paper, we extend the recently proposed Core Vector Machine algorithm to the regression setting by generalizing the underlying minimum enclosing ball problem. The resultant...
Ivor W. Tsang, James T. Kwok, Kimo T. Lai
106
Voted
GECCO
2005
Springer
195views Optimization» more  GECCO 2005»
15 years 5 months ago
Evolutionary strategies for multi-scale radial basis function kernels in support vector machines
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
Tanasanee Phienthrakul, Boonserm Kijsirikul
105
Voted
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 3 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
83
Voted
BMCBI
2008
105views more  BMCBI 2008»
14 years 11 months ago
Predicting RNA-binding sites of proteins using support vector machines and evolutionary information
Cheng-Wei Cheng, Emily Chia-Yu Su, Jenn-Kang Hwang...
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
15 years 3 months ago
Support vector regression for classifier prediction
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi