627 search results - page 63 / 126 » Structural Learning of Activities from Sparse Datasets |
JMLR
2011
13 years 3 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
CSB
2003
IEEE
14 years 2 months ago
2003
IEEE
Recognition of a protein’s fold provides valuable information about its function. While many sequence-based homology prediction methods exist, an important challenge remains: tw...
KDD
2002
ACM
14 years 9 months ago
2002
ACM
Protein secondary structure prediction and high-throughput drug screen data mining are two important applications in bioinformatics. The data is represented in sparse feature spac...
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
BMCBI
2004
13 years 8 months ago
2004
Background: An increasing number of researchers have released novel RNA structure analysis and prediction algorithms for comparative approaches to structure prediction. Yet, indep...