631 search results - page 5 / 127 » Selecting Useful Groups of Features in a Connectionist Frame... |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
CSB
2005
IEEE
14 years 1 months ago
2005
IEEE
A major challenge for genomewide disease association studies is the high cost of genotyping large number of single nucleotide polymorphisms (SNP). The correlations between SNPs, h...
CIKM
2010
Springer
13 years 4 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...