109 search results - page 11 / 22 » Bayesian Model Selection when the Number of Components is Un... |
109
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CORR
2010
Springer
14 years 8 months ago
2010
Springer
In the classic Bayesian restless multi-armed bandit (RMAB) problem, there are N arms, with rewards on all arms evolving at each time as Markov chains with known parameters. A play...
EMMCVPR
1999
Springer
15 years 4 months ago
1999
Springer
Consider the problem of tting a nite Gaussian mixture, with an unknown number of components, to observed data. This paper proposes a new minimum description length (MDL) type crite...
94
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ICPR
2008
IEEE
16 years 26 days ago
2008
IEEE
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
113
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ICCV
2003
IEEE
16 years 1 months ago
2003
IEEE
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
110
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CSDA
2006
14 years 11 months ago
2006
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...