1839 search results - page 164 / 368 » Feature Selection in Clustering Problems |
EUROMICRO
2006
IEEE
15 years 4 months ago
2006
IEEE
In large software and systems engineering companies like Siemens PSE there are several requirements tools in use. There is no “one tool fits all projects/departments” solution...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
CPHYSICS
2007
14 years 10 months ago
2007
A new software code for computing selected eigenvalues and associated eigenvectors of a real symmetric matrix is described. The eigenvalues are either the smallest or those closes...
CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
Multiple-instance Learning (MIL) is a new paradigm
of supervised learning that deals with the classification of
bags. Each bag is presented as a collection of instances
from whi...