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Support vector machine parameters related to foreign literature, including genetic algorithms, Particle swarm optimization, Chaos optimization algorithm.
新建文件夹 (2)\Prediction models of human plasma protein binding rate and oral bioavailability derived by using GA–CG–SVM method.pdf
..............\A distributed PSO–SVM hybrid system with feature selection and parameter optimization.pdf
..............\A GA-based feature selection and parameters optimizationfor support vector machines.pdf
..............\Advanced support vector machines and kernel methods.pdf
..............\An integrated scheme for feature selection and parameter setting in the support vector machine modeling and its application to the prediction of pharmacokinetic properties of drugs.pdf
..............\Automatic model selection for the optimization of SVM kernels.pdf
..............\Bayesian approach to feature selection and parameter tuning for support vector machine classifiers.pdf
..............\ESVM Evolutionary support vector machine for automatic feature selection and classification of microarray data.pdf
..............\Evolutionary tuning of multiple SVM parameters.pdf
..............\Evolutionary tuning of SVM parameter values in multiclass problems.pdf
..............\Model selection for support vector machines via uniform design.pdf
..............\Parameter determination of support vector machine and feature selection using simulated annealing approach.pdf
..............\Parameter selection of support vector machine for function approximation based on chaos optimization.pdf
..............\Particle swarm optimization for parameter determination and feature selection of support vector machines.pdf
..............\Practical selection of SVM parameters and noise estimation for SVM regression.pdf
新建文件夹 (2)