Developing theories and systems pertaining to intelligent behavior using a unified methodology. At the heart of the approach is the idea that learning has a central role in intelligence.

Research on adaptive processing of data structures, document analysis and technologies, natural language, machine learning for the web, visual databases, biochemistry and bioinformatics.

Research on Neural Networks and Decision Trees.

Research in Data mining, Inductive Logic Programming, Learning In Agents.

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

Research on Data Mining, Machine Learning, Inductive Logic Programming, Relational Learning, Machine Learning for Bioinformatics.

Research on Theories of Learning, Inference, and Discovery Data Mining and Knowledge Discovery, User Modeling and Intrusion Detection, Non-Darwinian Evolutionary Computation, Machine Vision through Learning, Education.

ESPRIT working group on Neural and Computational Learning Theory. Partners, projects, publications archive.

Software systems that learn user preferences, Robot learning, text learning, generic learning methods.

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