Reinforcement learning, machine learning, supervised learning.

Dedicated to artificial neural networks and their applications in medical research and computational chemistry. Offers a quick tutorial on theory on ANNs written in Persian.

Bayesian perception, computer vision, image processing.

Iterative decoding, unsupervised learning, graphical models.

Learning of probabilistic models, applications to computational biology.

Overview of neural networks, and explanation of Java classes that implement backpropagation, and Kohonen feature maps.

Computer vision, image analysis, neural networks.

Sensorimotor control, unsupervised learning, probabilistic machine learning.

Neural network ensembles, adaptive systems and applications in neuroinformatics.

Statistical learning theory, support vector machines and kernel methods.