The bias-variance tradeoff and the randomized GACV

Optimization of the SVM Kernels Using an Empirical Error Minimization Scheme

SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines

Healing the relevance vector machine through augmentation

ICML '05 Proceedings of the 22nd international conference on Machine learning

A Unifying View of Sparse Approximate Gaussian Process Regression

The Journal of Machine Learning Research

A novel LS-SVMs hyper-parameter selection based on particle swarm optimization

Neurocomputing

Informative transcription factor selection using support vector machine-based generalized approximate cross validation criteria

Computational Statistics & Data Analysis

Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine

Computational Statistics & Data Analysis

A multi-model selection framework for unknown and/or evolutive misclassification cost problems

Pattern Recognition

Automatic model selection for the optimization of SVM kernels

Pattern Recognition

On the grouped selection and model complexity of the adaptive elastic net

Statistics and Computing

PSO-Based hyper-parameters selection for LS-SVM classifiers

ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II

Analysis of some methods for reduced rank gaussian process regression

Switching and Learning in Feedback Systems