65 search results - page 5 / 13 » Noise-Based Feature Perturbation as a Selection Method for M... |
118
click to vote
BMCBI
2010
15 years 3 months ago
2010
Background: Recent advances in antibody microarray technology have made it possible to measure the expression of hundreds of proteins simultaneously in a competitive dual-colour a...
132
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
The importance of bringing causality into play when designing feature selection methods is more and more acknowledged in the machine learning community. This paper proposes a filt...
154
Voted
CIKM
2010
Springer
15 years 23 days ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
124
click to vote
NIPS
2000
15 years 4 months ago
2000
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
207
Voted
BMCBI
2006
15 years 3 months ago
2006
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...