Research on machine learning theory, kernel methods for text analysis, support vector machines, kernel theory.

An on-line handwriting recognition engine based upon statistical dynamic time warping (SDTW) and support vector machines with a Gaussian DTW kernel (SVM-GDTW).

Research on neural computational theories of perception and action, with an emphasis on learning.

Tutorials, software, online books and articles on forecasting and systems modeling, optimization in expert systems, pattern recognition, data mining and knowledge discovery, from a research group at the Glushkov Institute of Cybernetics.

A group of researchers interested in artificial intelligence, computer supported collaborative learning and grid computing.

Research on Machine Learning in Robotics, Factory Automation, and Assistance Systems.

Research projects on collective intelligence, surface modeling, autoclass, Bayesian search.

Focuses on theory of logic and learning, and applied intelligent systems. Methodolgies range from traditional knowledge-based systems and neural networks to machine learning, agents, and evolutionary computation.

Research on symbolic and numerical approaches to machine learning, first order logic, intelligent document processing, spatial data mining, human-computer interaction.

Research projects mainly focused on text: Intelligent Information Access, Text Summarization, Text Analysis for Knowledge Acquisition.