703 search results - page 60 / 141 » Predicting Time Series with Support Vector Machines |
145
Voted
APBC
2003
15 years 5 months ago
2003
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
169
Voted
BMCBI
2011
14 years 10 months ago
2011
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...
119
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PKDD
2009
Springer
15 years 10 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...
124
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BMCBI
2010
15 years 3 months ago
2010
Background: An important aspect of protein design is the ability to predict changes in protein thermostability arising from single- or multi-site mutations. Protein thermostabilit...
166
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JMLR
2006
15 years 3 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...