2826 search results - page 207 / 566 » Maximal Vector Computation in Large Data Sets |
124
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NPL
2002
15 years 4 months ago
2002
The `kernel approach' has attracted great attention with the development of support vector machine (SVM) and has been studied in a general way. It offers an alternative soluti...
164
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CORR
2011
Springer
14 years 8 months ago
2011
Springer
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...
142
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CVPR
2006
IEEE
16 years 6 months ago
2006
IEEE
The Fisher Linear Discriminant (FLD) is commonly used in pattern recognition. It finds a linear subspace that maximally separates class patterns according to Fisher's Criteri...
131
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PAKDD
2009
ACM
15 years 9 months ago
2009
ACM
Given a set of rating data for a set of items, determining the values of items is a matter of importance and various probability models have been proposed. The Plackett-Luce model ...
167
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BMCBI
2011
14 years 11 months ago
2011
Background: Since its inception, proteomics has essentially operated in a discovery mode with the goal of identifying and quantifying the maximal number of proteins in a sample. I...