704 search results - page 58 / 141 » Exploiting Data Missingness in Bayesian Network Modeling |
PKDD
2009
Springer
15 years 7 months ago
2009
Springer
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...
120
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ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
107
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ISCC
2009
IEEE
15 years 7 months ago
2009
IEEE
Abstract—In-network storage of data in wireless sensor networks contributes to reduce the communications inside the network and to favor data aggregation. In this paper, we consi...
UAI
1997
15 years 1 months ago
1997
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
113
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UAI
1993
15 years 1 months ago
1993
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...