ESANN 2007: Bruges, Belgium

Dynamic and complex systems

Prototype-based learning

Model selection and regularization

Fuzzy and Probalistic Methods in Neural Networks and Machine Learning

Learning I

Convex Optimization for the Design of Learning Machines

Generative models and maximum likelihood approaches

Kernel methods and Support Vector Machines

Reinforcement Learning

Learning II

Biologically motivated learning

Learning causality

Reservoir Computing

Learning III

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