4276 search results - page 496 / 856 » Computability of Probability Distributions and Distribution ... |
174
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SODA
2001
ACM
15 years 8 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
220
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UAI
2003
15 years 8 months ago
2003
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
199
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UAI
2000
15 years 8 months ago
2000
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
175
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DEXA
2010
Springer
15 years 7 months ago
2010
Springer
Data stream is a newly emerging data model for applications like environment monitoring, Web click stream, network traffic monitoring, etc. It consists of an infinite sequence of d...
182
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ICIP
2007
IEEE
15 years 6 months ago
2007
IEEE
This paper addresses the issues of nonlinear edge-preserving image smoothing and segmentation. A ML-based approach is proposed which uses an iterative algorithm to solve the probl...