1183 search results - page 14 / 237 » Learning Process Models with Missing Data |
JMLR
2010
14 years 6 months ago
2010
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
124
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SIGMETRICS
2003
ACM
15 years 5 months ago
2003
ACM
In main-memory databases, the number of processor cache misses has a critical impact on the performance of the system. Cacheconscious indices are designed to improve performance b...
ECML
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. We study discriminative joint density models, that is, generative models for the joint density p(c, x) learned by maximizing a discriminative cost function, the condition...
CCE
2004
14 years 11 months ago
2004
Numerous approaches to information modeling exist within chemical engineering representing product data, work processes, or other information. These models have a limited scope an...
109
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ICML
1999
IEEE
16 years 16 days ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...