192 search results - page 13 / 39 » A dimensionality reduction approach to modeling protein flex... |
100
click to vote
JCB
2006
14 years 9 months ago
2006
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
SADM
2010
14 years 4 months ago
2010
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
ICPR
2002
IEEE
15 years 11 months ago
2002
IEEE
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
BMCBI
2011
14 years 1 months ago
2011
Background: Diabetes like many diseases and biological processes is not mono-causal. On the one hand multifactorial studies with complex experimental design are required for its c...
SDM
2004
SIAM
14 years 11 months ago
2004
SIAM
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...