2949 search results - page 285 / 590 » Universal Sparse Modeling |
155
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BMCBI
2007
15 years 3 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
137
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LSSC
2001
Springer
15 years 7 months ago
2001
Springer
Abstract. Air pollution models can efficiently be used in different environmental studies. The atmosphere is the most dynamic component of the environment, where the pollutants ca...
127
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TACAS
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. We describe a scalable incomplete boundedness test for the communication buffers in UML RT models. UML RT is a variant of the UML modeling language, tailored to describin...
143
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CVIU
2008
15 years 3 months ago
2008
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
147
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CORR
2011
Springer
14 years 10 months ago
2011
Springer
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...