848 search results - page 100 / 170 » Feature selection in a kernel space |
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
ACT We consider the problem of sensor selection in resource constrained sensor networks. The fusion center selects a subset of k sensors from an available pool of m sensors accordi...
GECCO
2006
Springer
13 years 11 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...
CVPR
2009
IEEE
15 years 2 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...
POPL
2003
ACM
14 years 8 months ago
2003
ACM
We present a framework for applying memoization selectively. The framework provides programmer control over equality, space usage, and identification of precise dependences so tha...
PR
2006
13 years 7 months ago
2006
The k-nearest-neighbor rule is one of the most attractive pattern classification algorithms. In practice, the choice of k is determined by the cross-validation method. In this wor...