96 search results - page 15 / 20 » Hidden Markov Support Vector Machines |
160
Voted
NIPS
2003
15 years 5 months ago
2003
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
143
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WABI
2009
Springer
15 years 10 months ago
2009
Springer
Background: This paper considers the problem of identifying pathways through metabolic networks that relate to a specific biological response. Our proposed model, HME3M, first ide...
KES
2007
Springer
15 years 10 months ago
2007
Springer
This paper introduces the problems associated with anomaly detection in a marine engine, and explains the benefits that the SAX representation brings to the field. Despite limita...
140
Voted
ECML
2006
Springer
15 years 7 months ago
2006
Springer
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
106
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IJDMB
2011
14 years 10 months ago
2011
: Classification methods are vital for efficient access of knowledge hidden in biomedical publications. Support vector machines (SVMs) are modern non-parametric deterministic clas...