17298 search results - page 447 / 3460 » Abstract computing machines |
205
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CSL
2006
Springer
15 years 6 months ago
2006
Springer
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
133
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ICANN
2007
Springer
16 years 1 months ago
2007
Springer
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
192
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EAMT
1993
15 years 11 months ago
1993
Daelemans W. Abstraction Considered Harmful: Lazy Learning of Language Processing. Proceedings of the 6th 5th Belgian-Dutch Conference on Machine Learning 1996; 3-12.
181
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SDM
2009
SIAM
16 years 4 months ago
2009
SIAM
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
202
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WMCSA
2008
IEEE
16 years 1 months ago
2008
IEEE
Remote patient monitoring generates much more data than healthcare professionals are able to manually interpret. Automated detection of events of interest is therefore critical so...