In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines

Nonlinear Regularization Path for Quadratic Loss Support Vector Machines

(2011) M. Karasuyama et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Improvements on Twin Support Vector Machines

(2011) Yuan-Hai Shao et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Maximal Discrepancy for Support Vector Machines

(2011) Davide Anguita et al.   NEUROCOMPUTING

Facial Expression Recognition in JAFFE Dataset Based on Gaussian Process Classification

(2010) Fei Cheng et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression

(2010) Kris De Brabanter et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters

(2010) Tobias Glasmachers et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine

(2009) Zongben Xu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Nearly homogeneous multi-partitioning with a deterministic generator

(2009) Michaël Aupetit   NEUROCOMPUTING

Exploration–exploitation tradeoff using variance estimates in multi-armed bandits

(2009) Jean-Yves Audibert et al.   THEORETICAL COMPUTER SCIENCE

Cross-validation and bootstrapping are unreliable in small sample classification

(2008) A. Isaksson et al.   PATTERN RECOGNITION LETTERS