31 search results - page 5 / 7 » Learning Markov Network Structure using Few Independence Tes... |
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
ICDM
2002
IEEE
15 years 2 months ago
2002
IEEE
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
AIME
2005
Springer
14 years 11 months ago
2005
Springer
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
RECOMB
2007
Springer
15 years 9 months ago
2007
Springer
Transcription factor (TF) binding to its DNA target site is a fundamental regulatory interaction. The most common model used to represent TF binding specificities is a position spe...
JUCS
2008
14 years 9 months ago
2008
Abstract: Although immense efforts have been invested in the construction of hundreds of learning object repositories, the degree of reuse of learning resources maintained in such ...