1364 search results - page 224 / 273 » Sampling Methods for Unsupervised Learning |
BMCBI
2007
14 years 11 months ago
2007
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
ALMOB
2008
14 years 11 months ago
2008
Background: One of the goals of global metabolomic analysis is to identify metabolic markers that are hidden within a large background of data originating from high-throughput ana...
103
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BMCBI
2005
14 years 11 months ago
2005
Background: Comparison of data produced on different microarray platforms often shows surprising discordance. It is not clear whether this discrepancy is caused by noisy data or b...
100
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ECCV
2008
Springer
16 years 1 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
79
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ICML
2009
IEEE
15 years 12 months ago
2009
IEEE
We propose a method that detects the true direction of time series, by fitting an autoregressive moving average model to the data. Whenever the noise is independent of the previou...