2918 search results - page 243 / 584 » Learning qualitative models from numerical data |
165
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MOC
2010
15 years 1 months ago
2010
We consider temporal approximation of stationary statistical properties of dissipative complex dynamical systems. We demonstrate that stationary statistical properties of the time...
142
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
163
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NIPS
2003
15 years 8 months ago
2003
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
159
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LWA
2007
15 years 8 months ago
2007
This paper describes the application of machine learning methods to determine parameters for DeLite, a readability checking tool. DeLite pinpoints text segments that are difficul...
161
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TDP
2008
15 years 6 months ago
2008
The mean vector and covariance matrix are sufficient statistics when the un derlying distribution is multivariate normal. Many type of statistical analyses used in practice rely on...