22 search results - page 3 / 5 » Reviewer Profiling Using Sparse Matrix Regression |
IWANN
2005
Springer
15 years 3 months ago
2005
Springer
Based on the Nystr¨om approximation and the primal-dual formulation of Least Squares Support Vector Machines (LS-SVM), it becomes possible to apply a nonlinear model to a large sc...
AAAI
2010
14 years 11 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
118
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BMCBI
2011
14 years 1 months ago
2011
Background: The analysis of gene expression from time series underpins many biological studies. Two basic forms of analysis recur for data of this type: removing inactive (quiet) ...
BMCBI
2006
14 years 9 months ago
2006
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
116
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ISCAS
2008
IEEE
15 years 4 months ago
2008
IEEE
— Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based r...