1489 search results - page 62 / 298 » Monotonicity in Bayesian Networks |
152
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ISNN
2004
Springer
15 years 8 months ago
2004
Springer
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...
146
Voted
SGAI
2004
Springer
15 years 8 months ago
2004
Springer
The assessment of a probability distribution associated with a Bayesian network is a challenging task, even if its topology is sparse. Special probability distributions based on t...
125
Voted
AAAI
2007
15 years 5 months ago
2007
Since Bayesian network (BN) was introduced in the field of artificial intelligence in 1980s, a number of inference algorithms have been developed for probabilistic reasoning. Ho...
149
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DMIN
2006
15 years 4 months ago
2006
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
145
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IJAR
2006
15 years 3 months ago
2006
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...