1364 search results - page 12 / 273 » Sampling Methods for Unsupervised Learning |
BMCBI
2006
14 years 11 months ago
2006
Background: Accurate interpretation of data obtained by unsupervised analysis of large scale expression profiling studies is currently frequently performed by visually combining s...
BMCBI
2008
14 years 11 months ago
2008
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
61
Voted
CORR
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. We define a novel, basic, unsupervised learning problem learning the the lowest density homogeneous hyperplane separator of an unknown probability distribution. This task...
142
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CVPR
2012
IEEE
13 years 1 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
117
Voted
ECML
2005
Springer
15 years 25 days ago
2005
Springer
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...