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   Home: Artificial Intelligence: Machine Learning: Research Groups

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  Pages: 1 2 [>>]

  • AI Unit - University of Dortmund (Germany)
    Research on representation and acquisition of knowledge in the subareas machine learning and text, knowledge discovery in databases, learning and cognitive science, and learning robots. (Rating: 0.00 Votes: 0)   Rate It
  • Cognitive Computation Group at UIUC
    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. (Rating: 0.00 Votes: 0)   Rate It
  • Cognitive Computation, Harvard University
    The group develops 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. (Rating: 0.00 Votes: 0)   Rate It
  • Computational Biology Group - University of Wales
    Techniques include inductive logic programming, model based reasoning, evolutionary computing, neural networks, multivariate statistics. Applications to drig design, protein secondary structure prediction, functional genomics, etc. (Rating: 0.00 Votes: 0)   Rate It
  • Group Method of Data Handling (GMDH)
    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. (Rating: 0.00 Votes: 0)   Rate It
  • Intelligent Data Analysis Group at GMD FIRST
    The IDA group is concerned with learning systems for intelligent data analysis. In particular, we are developing tools for high-dimensional multivariate statistics based on methods originally developed in the field of statistics and, more recently, in the neural networks and machine learning community. (Rating: 0.00 Votes: 0)   Rate It
  • Intelligent Systems, University College London
    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. (Rating: 0.00 Votes: 0)   Rate It
  • Machine Learning - ÖFAI
    Information on their members, research areas, publications, teaching, and resources. Focus is on: data mining and knowledge discovery in databases, inductive logic programming, knowledge intensive learning, concept drift and context-sensitive learning, minimum description length principle, machine learning and music. (Rating: 0.00 Votes: 0)   Rate It
  • Machine Learning and Inference Laboratory - GMU
    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. (Rating: 0.00 Votes: 0)   Rate It
  • Machine Learning Group - UCI
    Research at UCI spans the spectrum of models for learning, including those based on statistics, logic, mathematics, neural structures, information theory, and heuristic search algorithms. (Rating: 0.00 Votes: 0)   Rate It
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