1340 search results - page 229 / 268 » Structure learning of Bayesian networks using constraints |
132
click to vote
ICDM
2003
IEEE
15 years 9 months ago
2003
IEEE
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
143
click to vote
CP
1998
Springer
15 years 8 months ago
1998
Springer
The constraint paradigm provides powerful concepts to represent and solve different kinds of planning problems, e. g. factory scheduling. Factory scheduling is a demanding optimiz...
149
click to vote
VLDB
1991
ACM
15 years 8 months ago
1991
ACM
: This paper describes a design methodology for an object oriented database,basedon a semantic network. This approach is based on the assumption that Yemanticdata models are more p...
107
click to vote
ICANN
2001
Springer
15 years 9 months ago
2001
Springer
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
156
click to vote
VLSISP
1998
15 years 4 months ago
1998
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...