1236 search results - page 204 / 248 » Robust estimation for sparse data |
107
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BMCBI
2006
14 years 12 months ago
2006
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
121
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CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
This paper proposes a novel method to apply the standard graph cut technique to segmenting multimodal tensor valued images. The Riemannian nature of the tensor space is explicitly...
ICDM
2006
IEEE
15 years 6 months ago
2006
IEEE
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
100
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PAKDD
2005
ACM
15 years 5 months ago
2005
ACM
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
111
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ICDM
2010
IEEE
14 years 10 months ago
2010
IEEE
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...