Grey wolf optimization based parameter selection for support vector machines

Tuning of the hyperparameters for L2-loss SVMs with the RBF kernel by the maximum-margin principle and the jackknife technique

(2015) Chin-Chun Chang et al.   PATTERN RECOGNITION

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

A study of neural-network-based classifiers for material classification

(2014) H.K. Lam et al.   NEUROCOMPUTING

A nested heuristic for parameter tuning in Support Vector Machines

(2013) Emilio Carrizosa et al.   COMPUTERS & OPERATIONS RESEARCH

Channel selection and classification of electroencephalogram signals: An artificial neural network and genetic algorithm-based approach

(2012) Jianhua Yang et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Nonrandomness, nonlinear dependence, and nonstationarity of electroencephalographic recordings from epilepsy patients

(2012) Ralph G. Andrzejak et al.   PHYSICAL REVIEW E