ESANN 2012: Bruges, Belgium

Theory and practice of adaptive input driven dynamical dystems

Regression

Brain-computer interfaces

Image and time series analysis

Interpretable models in machine learning

Machine ensembles: theory and applications

Bayesian and graphical models, optimization

Unsupervised learning

Statistical methods and kernel-based algorithms

Classification and model selection

Recent developments in clustering algorithms

Feature selection and information-based learning

Nonlinear dimensionality reduction and topological learning

Recurrent and neural networks, reinforcement learning, control

Parallel hardware architectures for acceleration of neural network computation

maintained by Schloss Dagstuhl LZI at University of Trier