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Project APrIL --- Application of Probabilistic
Inductive Logic Programming
Abstract
One of the key questions of artificial intelligence concerns
``probabilistic logic learning'', i.e. the integration of
probabilistic reasoning with first order logic representations and
machine learning. The overall goal of the assessment project is to
critically investigate ``probabilistic logic learning'' methods by
ansswering the following questions:
- Are there significant applications for which ``first order
Qprobabilistic logic'' is better than state-of-the-art representations?
- Can models be learned within such a ``first order probabilistic
logic''?
Partners
- Albert Ludwigs University Freiburg, Germany [ALU-FR]
- Imperial College of Science, Technology and Medicine, Great Britain [ICSTM]
This page is last updated on: $Date: 2001-10-23 10:09:55+02 $
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