1150 search results - page 105 / 230 » Tackling Large State Spaces in Performance Modelling |
172
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TIT
2010
14 years 10 months ago
2010
The plenoptic function (Adelson and Bergen, 91) describes the visual information available to an observer at any point in space and time. Samples of the plenoptic function (POF) a...
139
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IJCAI
2001
15 years 5 months ago
2001
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
303
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SIGMOD
2008
ACM
16 years 4 months ago
2008
ACM
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
135
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
118
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IJON
2000
15 years 3 months ago
2000
The complexity of neural networks of the brain makes studying these networks through computer simulation challenging. Conventional methods, where one models thousands of individua...