16 search results - page 3 / 4 » On Kernel Selection in Relevance Vector Machines Using Stabi... |
BMCBI
2005
13 years 6 months ago
2005
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
ARTMED
2007
13 years 6 months ago
2007
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
BMCBI
2008
13 years 6 months ago
2008
Background: T-cell epitopes that promiscuously bind to multiple alleles of a human leukocyte antigen (HLA) supertype are prime targets for development of vaccines and immunotherap...