26 search results - page 2 / 6 » On Over-fitting in Model Selection and Subsequent Selection ... |
BMCBI
2006
13 years 5 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
SDM
2012
SIAM
11 years 7 months ago
2012
SIAM
The focus of this paper is on how to select a small sample of examples for labeling that can help us to evaluate many different classification models unknown at the time of sampl...
CP
2004
Springer
13 years 10 months ago
2004
Springer
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
ISCC
2003
IEEE
13 years 10 months ago
2003
IEEE
The efficient use of network capacity strongly depends upon the path selection procedure. In this paper we propose and evaluate efficient path selection algorithms for survivable ...
WCE
2007
13 years 6 months ago
2007
– In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computa...