114 search results - page 22 / 23 » Feature Subset Selection and Ranking for Data Dimensionality... |
BMCBI
2002
13 years 5 months ago
2002
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
BMCBI
2004
13 years 5 months ago
2004
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...
ICCV
2003
IEEE
13 years 10 months ago
2003
IEEE
Detecting the dominant normal directions to the decision surface is an established technique for feature selection in high dimensional classification problems. Several approaches...
SI3D
2006
ACM
13 years 11 months ago
2006
ACM
Motion capture data from human subjects exhibits considerable redundancy. In this paper, we propose novel methods for exploiting this redundancy. In particular, we set out to find...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...