232 search results - page 15 / 47 » Learning relational dependency networks in hybrid domains |
NIPS
2000
14 years 7 days ago
2000
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
HYBRID
1998
Springer
14 years 3 months ago
1998
Springer
We discuss properties of high order neurons in competitive learning. In such neurons, geometric shapes replace the role of classic `point' neurons in neural networks. Complex ...
WWW
2004
ACM
14 years 11 months ago
2004
ACM
This paper presents a search architecture that combines classical search techniques with spread activation techniques applied to a semantic model of a given domain. Given an ontol...
UAI
1996
14 years 6 days ago
1996
In learning belief networks, the single link lookahead search is widely adopted to reduce the search space. We show that there exists a class of probabilistic domain models which ...
JAIR
2010
13 years 9 months ago
2010
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...