Support vector regression with ANOVA decomposition kernels

Using Iterated Bagging to Debias Regressions

Machine Learning

Structural Modelling with Sparse Kernels

Machine Learning

Experimentally optimal ν in support vector regression for different noise models and parameter settings

Neural Networks

A tutorial on support vector regression

Statistics and Computing

Handling missing values in support vector machine classifiers

Neural Networks - 2005 Special issue: IJCNN 2005

New Support Vector Algorithms

Neural Computation

Prediction in Marketing Using the Support Vector Machine

Marketing Science

Multifactor Gaussian process models for style-content separation

Proceedings of the 24th international conference on Machine learning

Incorporating prior knowledge in support vector regression

Machine Learning

Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling

Fuzzy Sets and Systems

Determination of ocean primary productivity using support vector machines

International Journal of Remote Sensing - Satellite observations of the atmosphere, ocean and their interface in relation to climate, natural hazards and management of the coastal zone

Building sparse representations and structure determination on LS-SVM substrates

Neurocomputing

GA-SVM based framework for time series forecasting

ICNC'09 Proceedings of the 5th international conference on Natural computation

Comparison of methods for the selection of genomic biomarkers

International Journal of Data Mining and Bioinformatics

White box radial basis function classifiers with component selection for clinical prediction models

Artificial Intelligence in Medicine