3677 search results - page 340 / 736 » Is a probabilistic modeling |
208
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
197
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QEST
2010
IEEE
15 years 4 months ago
2010
IEEE
Discrete-Time Markov Chains (DTMCs) are a widely-used formalism to model probabilistic systems. On the one hand, available tools like PRISM or MRMC offer efficient model checking a...
185
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ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
This paper presents a novel approach to model the complex motion of human using a probabilistic autoregressive moving average model. The parameters of the model are adaptively tun...
175
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IPMU
2010
Springer
15 years 5 months ago
2010
Springer
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
218
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JMLR
2006
15 years 6 months ago
2006
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...