Sequential minimal optimization

Known as: SMO 
Sequential minimal optimization (SMO) is an algorithm for solving the quadratic programming (QP) problem that arises during the training of support… (More)
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2017
2017
Due to the variability of writing styles and to other problems related to the nature of Arabic scripts, the recognition of Arabic… (More)
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2016
2016
Author identification is a substantial factor in the global economic loss due to computer-related crimes. According to the Center… (More)
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2015
2015
To pursue the insensitivity to feature noise and the stability to re-sampling, a new type of support vector machine (SVM) has… (More)
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2013
2013
Computer based medical decision support system (MDSS) can be useful for the physicians with its fast and accurate decision making… (More)
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2011
2011
Computing not the local, but the global optimum of a cluster assignment is one of the important aspects in clustering. Convex… (More)
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Highly Cited
2006
Highly Cited
2006
Sequential minimal optimization (SMO) is one popular algorithm for training support vector machine (SVM), but it still requires a… (More)
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2004
2004
While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on… (More)
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Highly Cited
1999
Highly Cited
1999
This chapter describes a new algorithm for training Support Vector Machines: Sequential Minimal Optimization, or SMO. Training a… (More)
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Highly Cited
1998
Highly Cited
1998
SMO solves the SVM QP problem by decomposing it into QP sub-problems and solving the smallest possible optimization problem… (More)
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Highly Cited
1998
Highly Cited
1998
This paper proposes a new algorithm for training support vector machines: Sequential Minimal Optimization, or SMO. Training a… (More)
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