1025 search results - page 119 / 205 » Constraint Programming for Data Mining and Machine Learning |
133
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SLSFS
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
111
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PKDD
2009
Springer
15 years 9 months ago
2009
Springer
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...
200
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SIGMOD
2004
ACM
16 years 3 months ago
2004
ACM
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
120
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ECML
2007
Springer
15 years 9 months ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
157
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ML
2010
ACM
14 years 10 months ago
2010
ACM
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...