2503 search results - page 277 / 501 » New Algorithms for Statistical Analysis of Interval Data |
166
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IPMI
2003
Springer
16 years 6 months ago
2003
Springer
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...
189
Voted
DILS
2007
Springer
15 years 7 months ago
2007
Springer
The success of mass spectrometry-based proteomics in emerging applications such as biomarker discovery and clinical diagnostics, is predicated substantially on its ability to achie...
169
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ICML
2009
IEEE
16 years 6 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
164
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ICDM
2005
IEEE
15 years 11 months ago
2005
IEEE
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
166
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JAMIA
2011
14 years 8 months ago
2011
Background Systematic study of clinical phenotypes is important for a better understanding of the genetic basis of human diseases and more effective gene-based disease management....