153 search results - page 4 / 31 » Worst-Case Analysis of Selective Sampling for Linear-Thresho... |
ML
2002
ACM
13 years 5 months ago
2002
ACM
Model selection is an important ingredient of many machine learning algorithms, in particular when the sample size in small, in order to strike the right trade-off between overfitt...
BMCBI
2010
13 years 5 months ago
2010
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
CSB
2004
IEEE
13 years 9 months ago
2004
IEEE
Gene expression profiles with clinical outcome data enable monitoring of disease progression and prediction of patient survival at the molecular level. We present a new computatio...
ISI
2006
Springer
13 years 5 months ago
2006
Springer
This work investigates the accuracy and efficiency tradeoffs between centralized and collective (distributed) algorithms for (i) sampling, and (ii) n-way data analysis techniques i...
PAMI
2010
13 years 3 months ago
2010
—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...