ESANN 2008: Bruges, Belgium

Dynamical and recurrent systems, control

Feature selection, imputation and projection

Machine learning methods in cancer research

Learning I

Biological systems and biologically-inspired networks

Clustering and vector quantization

Methodology and standards for data analysis with machine learning tools

Learning II

Neural Networks for Computational Neuroscience

Kernel methods

Machine Learning Approaches and Pattern Recognition for Spectral Data

Learning III