577 search results - page 25 / 116 » New interval methods for constrained global optimization |
178
Voted
ICMLA
2004
15 years 5 months ago
2004
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
141
Voted
ICDM
2008
IEEE
15 years 10 months ago
2008
IEEE
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
159
Voted
MICCAI
2005
Springer
16 years 4 months ago
2005
Springer
We present an automated algorithm for tissue segmentation of noisy, low contrast magnetic resonance (MR) images of the brain. We use a mixture model composed of a large number of G...
126
Voted
ISCAS
2005
IEEE
15 years 9 months ago
2005
IEEE
—This paper compares the performance of several structured optimization strategies in adaptive signal processing problems that are characterized by ill-conditioned error surfaces...
156
Voted
BMCBI
2011
14 years 7 months ago
2011
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...