242 search results - page 31 / 49 » Active Learning with Support Vector Machines for Tornado Pre... |
JMLR
2010
13 years 2 months ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
BMCBI
2006
13 years 8 months ago
2006
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
PRL
2008
13 years 7 months ago
2008
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
ICMLA
2008
13 years 9 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 ...
CIVR
2005
Springer
14 years 1 months ago
2005
Springer
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...