Applied genetic programming and machine learning

Utility-based learning from data

Support vector machines for pattern classification

Machine learning : an algorithmic perspective

The elements of statistical learning : data mining, inference, and prediction

Machine learning for spatial environmental data theory, applications and software

Knowledge discovery with support vector machines

Nonnegative matrix and tensor factorizations applications to exploratory multi-way data analysis and blind source separation

Kernel methods for remote sensing data analysis

Dataset shift in machine learning

Machine learning in bioinformatics

Computational methods of feature selection