686 search results - page 42 / 138 » Bayesian Analysis of Linear Combiners |
ECML
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
ICASSP
2009
IEEE
14 years 4 months ago
2009
IEEE
The mean of a data set is one trivial representation of data from one class. Recently, mutual interdependence analysis (MIA) has been successfully used to extract more involved re...
ICASSP
2009
IEEE
14 years 4 months ago
2009
IEEE
This paper develops a Bayesian network (BN) predictor to profile cross-race gene expression data. Cross-race studies face more data variability than single-lab studies. Our desig...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
The problem of finding the most appropriate subset of features or regressors is the generic challenge of Machine Learning problems like regression estimation or pattern recognitio...
PPDP
2000
Springer
14 years 23 days ago
2000
Springer
an abstract domain developed by D. Jacobs and A. Langen for the analysis of logic programs, derives useful aliasing information. It is well-known that a commonly used core of tech...