613 search results - page 44 / 123 » Learning the Structure of Linear Latent Variable Models |
145
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
146
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KDD
2004
ACM
16 years 3 months ago
2004
ACM
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
126
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GECCO
2005
Springer
15 years 8 months ago
2005
Springer
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
172
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JMLR
2006
15 years 3 months ago
2006
In recent years, several methods have been proposed for the discovery of causal structure from non-experimental data. Such methods make various assumptions on the data generating ...
114
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HICSS
2005
IEEE
15 years 8 months ago
2005
IEEE
Measurement of organizational knowledge assets is necessary to determine the effectiveness of knowledge management initiatives. A Knowledge Management Capability Assessment instru...