409 search results - page 58 / 82 » Predicting Nucleolar Proteins Using Support-Vector Machines |
CSB
2005
IEEE
15 years 3 months ago
2005
IEEE
The explanation of a decision is important for the acceptance of machine learning technology in bioinformatics applications such as protein structure prediction. In past research,...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
84
Voted
PRIB
2010
Springer
14 years 8 months ago
2010
Springer
We studied 1372 LacI-family transcription factors and their 4484 DNA binding sites using machine learning algorithms and feature selection techniques. The Naive Bayes classifier a...
68
Voted
ICMLA
2008
14 years 11 months ago
2008
We introduce three ensemble machine learning methods for analysis of biological DNA binding by transcription factors (TFs). The goal is to identify both TF target genes and their ...