1149 search results - page 101 / 230 » Learning Dynamic Bayesian Networks |
NN
2002
Springer
14 years 9 months ago
2002
Springer
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
NIPS
1990
14 years 11 months ago
1990
NECO
2008
14 years 9 months ago
2008
KDD
2003
ACM
15 years 10 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
108
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COLING
2000
14 years 11 months ago
2000
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...