106 search results - page 17 / 22 » On the Effectiveness of Constraints Sets in Clustering Genes |
IJCAI
2003
14 years 10 months ago
2003
We present a simple, easily implemented spectral learning algorithm which applies equally whether we have no supervisory information, pairwise link constraints, or labeled example...
89
Voted
BMCBI
2007
14 years 9 months ago
2007
Background: Computational methods to predict transcription factor binding sites (TFBS) based on exhaustive algorithms are guaranteed to find the best patterns but are often limite...
120
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Feature selection plays a fundamental role in many pattern
recognition problems. However, most efforts have been
focused on the supervised scenario, while unsupervised feature
s...
ACL
2011
14 years 1 months ago
2011
We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...
94
Voted
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...