997 search results - page 90 / 200 » Learning Rule Representations from Boolean Data |
113
Voted
ISMB
1993
15 years 2 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
178
Voted
TCBB
2011
14 years 7 months ago
2011
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...
146
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ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
Face representations based on Gabor features have achieved great success in face recognition, such as Elastic Graph Matching, Gabor Fisher Classifier (GFC), and AdaBoosted Gabor F...
112
Voted
INFOCOM
2009
IEEE
15 years 7 months ago
2009
IEEE
—A major threat to data networks is based on the fact that some traffic can be expensive to classify and filter as it will undergo a longer than average list of filtering rule...
102
Voted
NIPS
2007
15 years 2 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...