ESANN 2012: Bruges, Belgium

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Theory and practice of adaptive input driven dynamical dystems


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

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