Contents: Bayesian methods of pattern recognition, clustering, expectation maximization, neuronal networks and learning algorithms, associate networks, recurrent networks. Computer-vision with neuronal networks, applications in Robotics.

wird noch bekannt gegeben

Prerequisites: Basic knowledge  in Mathematics and Algorithms and Data structures.