791 search results - page 18 / 159 » Learning Probabilistic Ontologies with Distributed Parameter... |
DAGSTUHL
2007
13 years 10 months ago
2007
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
ACL
1994
13 years 10 months ago
1994
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
PPSN
2004
Springer
14 years 2 months ago
2004
Springer
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
EUSFLAT
2003
13 years 10 months ago
2003
In this paper, an architecture of a resourceallocating learning probabilistic neural network is considered. Construction and learning algorithms are proposed. The advantages of th...
SEMWEB
2004
Springer
14 years 2 months ago
2004
Springer
We argue that in a distributed context, such as the Semantic Web, ontology engineers and data creators often cannot control (or even imagine) the possible uses their data or ontolo...