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» Lossless Decomposition of Bayesian Networks
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FLAIRS
2007
13 years 7 months ago
Lossless Decomposition of Bayesian Networks
In this paper, we study the problem of information preservation when decomposing a single Bayesian network into a set of smaller Bayesian networks. We present a method that lossle...
Dan Wu
DCC
2010
IEEE
13 years 3 months ago
Neural Markovian Predictive Compression: An Algorithm for Online Lossless Data Compression
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...
Erez Shermer, Mireille Avigal, Dana Shapira
AAAI
2006
13 years 6 months ago
Performing Incremental Bayesian Inference by Dynamic Model Counting
The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...
Wei Li 0002, Peter van Beek, Pascal Poupart
FLAIRS
2001
13 years 6 months ago
Maximal Prime Subgraph Decomposition of Bayesian Networks
A maximal prime subgraph decomposition junction tree (MPD-JT) is a useful computational structure that facilitates lazy propagation in Bayesian networks (BNs). A graphical method ...
Kristian G. Olesen, Anders L. Madsen
ECSQARU
2007
Springer
13 years 11 months ago
Independence Decomposition in Dynamic Bayesian Networks
Ildikó Flesch, Peter J. F. Lucas