1183 search results - page 106 / 237 » Learning Process Models with Missing Data |
112
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ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
101
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ISPW
2008
IEEE
15 years 8 months ago
2008
IEEE
Most process models calibrate their internal settings using historical data. Collecting this data is expensive, tedious, and often an incomplete process. Is it possible to make acc...
101
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EUROMICRO
1997
IEEE
15 years 5 months ago
1997
IEEE
This paper considers whether the seemingly disparate fields of Computational Intelligence (CI) and computer architecture can profit from each others’ principles, results and e...
146
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SDM
2009
SIAM
15 years 10 months ago
2009
SIAM
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
113
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ICGI
1998
Springer
15 years 5 months ago
1998
Springer
We present in this paper a new learning problem called learning distributions from experts. In the case we study the experts are stochastic deterministic finite automata (sdfa). W...