360 search results - page 37 / 72 » Combining Learned Discrete and Continuous Action Models |
129
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CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
159
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JMLR
2010
14 years 11 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
130
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ICDM
2009
IEEE
15 years 11 months ago
2009
IEEE
Abstract—It is now widely accepted that in many situations where classifiers are deployed, adversaries deliberately manipulate data in order to reduce the classifier’s accura...
129
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HYBRID
2000
Springer
15 years 8 months ago
2000
Springer
Abstract. In many cases, complex system behaviors are naturally modeled as nonlinear differential equations. However, these equations are often hard to analyze because of "sti...
111
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HICSS
2009
IEEE
15 years 11 months ago
2009
IEEE
The paper proposes two automatic voltage controllers for the South Korean power system. Simulation results from detailed Korean power-flow models show that the controllers can pro...