1340 search results - page 94 / 268 » Structure learning of Bayesian networks using constraints |
BMCBI
2007
14 years 12 months ago
2007
Background: Matching functional sites is a key problem for the understanding of protein function and evolution. The commonly used graph theoretic approach, and other related appro...
103
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AIR
2004
14 years 11 months ago
2004
Ensuring truthfulness amongst self-interested agents bidding against one another in an auction can be computationally expensive when prices are determined using the Vickrey-Clarke-...
107
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KDD
2002
ACM
16 years 8 days ago
2002
ACM
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
ICML
2002
IEEE
16 years 20 days ago
2002
IEEE
The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this ...
ICDAR
1999
IEEE
15 years 4 months ago
1999
IEEE
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...