11211 search results - page 235 / 2243 » Data Structures |
167
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ADMA
2006
Springer
16 years 16 days ago
2006
Springer
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
180
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IV
2003
IEEE
15 years 11 months ago
2003
IEEE
It is often useful to get high-level views of datasets in order to identify areas of interest worthy of further exploration. In relational databases, the high-level view can be de...
172
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KDD
1995
ACM
15 years 10 months ago
1995
ACM
One objective of knowledge acquisition using inductive modeling has been the development of correct and effectively computable descriptions that can also be assimilated and used b...
171
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UAI
2008
15 years 8 months ago
2008
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
175
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IJON
2008
15 years 6 months ago
2008
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...