283 search results - page 4 / 57 » Learning Bayesian Networks: The Combination of Knowledge and... |
172
Voted
CSB
2005
IEEE
15 years 9 months ago
2005
IEEE
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
152
Voted
ACIVS
2006
Springer
15 years 7 months ago
2006
Springer
The vision-based scene understanding technique that infers scene-interpreting contexts from real-world vision data has to not only deal with various uncertain environments but also...
152
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CIDM
2009
IEEE
15 years 10 months ago
2009
IEEE
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
138
Voted
SAC
2009
ACM
15 years 10 months ago
2009
ACM
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
187
Voted
IDA
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...