848 search results - page 100 / 170 » Feature selection in a kernel space |
113
Voted
CDC
2010
IEEE
14 years 7 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...
121
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GECCO
2006
Springer
15 years 4 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...
117
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CVPR
2009
IEEE
16 years 7 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...
155
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POPL
2003
ACM
16 years 28 days 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...
65
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PR
2006
15 years 17 days 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...