963 search results - page 82 / 193 » Active Learning by Labeling Features |
137
click to vote
JMLR
2010
14 years 11 months ago
2010
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
149
click to vote
CVPR
2005
IEEE
16 years 6 months ago
2005
IEEE
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
146
click to vote
GECCO
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
141
click to vote
BMCBI
2010
15 years 4 months ago
2010
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...
139
click to vote
BIBM
2009
IEEE
15 years 11 months ago
2009
IEEE
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...