2103 search results - page 64 / 421 » Approximate Learning of Dynamic Models |
141
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PERCOM
2005
ACM
15 years 8 months ago
2005
ACM
When ubiquitous computing devices access a contextawareness service, such as a location service, they need some assurance that the quality of the information received is trustwort...
145
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JMLR
2010
14 years 9 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
153
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ISPASS
2009
IEEE
15 years 9 months ago
2009
IEEE
Trace-driven simulation of superscalar processors is particularly complicated. The dynamic nature of superscalar processors combined with the static nature of traces can lead to l...
150
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TSP
2010
14 years 9 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
135
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CVPR
2003
IEEE
16 years 4 months ago
2003
IEEE
This paper addresses the problem of capturing the dynamics for exemplar-based recognition systems. Traditional HMM provides a probabilistic tool to capture system dynamics and in ...