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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… 
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Papers overview

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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… 
2011
2011
Computing not the local, but the global optimum of a cluster assignment is one of the important aspects in clustering. Convex… 
2009
2009
Evolutionary Learning Classifier Systems (LCSs) combine reinforcement learning or supervised learning with effective genetics… 
2006
2006
The sliding mode observer is used to design attitude and angular rate determination routines for the University of New Hampshire… 
Highly Cited
2005
Highly Cited
2005
This essay examines research on social movement organizations (SMOs) within each of the three major schools of social movement… 
2004
2004
Platt's sequential minimal optimization has been widely adopted in modern implementations of support vector machines. This work… 
2003
2003
New bulk-rock and mineral data on leucit e meli litolite from Italy are prese nted, compared and discussed in term s of their… 
2003
2003
At present sequential minimal optimization (SMO) algorithm is a quite efficient method for training large-scale support vector… 
Highly Cited
1979
Highly Cited
1979
A condition for single longitudinal mode operation (SMO, for short) of index-guided injection lasers is given theoretically and…