192 search results - page 4 / 39 » A dimensionality reduction approach to modeling protein flex... |
BMCBI
2006
14 years 9 months ago
2006
Background:Receptors and scaffold proteins possess a number of distinct domains and bind multiple partners. A common problem in modeling signaling systems arises from a combinator...
UM
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Words mean different things to different people, and capturing these differences is often a subtle art. These differences are often “a matter of perspective,” and...
PAMI
2008
14 years 9 months ago
2008
We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
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ECBS
2010
IEEE
15 years 1 months ago
2010
IEEE
Model-based selective regression testing promises reduction in cost and labour by selecting a subset of the test suite corresponding to the modifications after system evolution. H...