136 search results - page 12 / 28 » Context-Specific Independence in Bayesian Networks |
RECOMB
2000
Springer
14 years 1 months ago
2000
Springer
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
IJAR
2007
13 years 9 months ago
2007
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
IJCNN
2000
IEEE
14 years 2 months ago
2000
IEEE
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
MICAI
2007
Springer
14 years 4 months ago
2007
Springer
Previous work on context-specific independence in Bayesian networks is driven by a common goal, namely to represent the conditional probability tables in a most compact way. In th...
IJAR
2008
13 years 9 months ago
2008
Empirical evidence shows that naive Bayesian classifiers perform quite well compared to more sophisticated network classifiers, even in view of inaccuracies in their parameters. I...