1340 search results - page 42 / 268 » Structure learning of Bayesian networks using constraints |
110
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KDD
2010
ACM
15 years 3 months ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
112
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JMLR
2010
14 years 6 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
KBS
2006
14 years 11 months ago
2006
Bayesian networks (BNs) provide a means for representing, displaying, and making available in a usable form the knowledge of experts in a given Weld. In this paper, we look at the...
101
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UAI
2000
15 years 1 months ago
2000
In many domains, we are interested in analyzing the structure of the underlying distribution, e.g., whether one variable is a direct parent of the other. Bayesian model selection a...
IJCAI
1989
15 years 28 days ago
1989
This paper presents and compares results for three types of connectionist networks on perceptual learning tasks: [A] Multi-layered converging networks of neuron-like units, with e...