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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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Related topics

Related topics

11 relations
A Library for Support Vector MachinesBinary classificationBregman methodKarush–Kuhn–Tucker conditions

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Author identification using Sequential Minimal Optimization
Author identification is a substantial factor in the global economic loss due to computer-related crimes. According to the Center… 
2014
2014
Modified Position Update in Spider Monkey Optimization Algorithm
Spider Monkey optimization (SMO) algorithm is newest addition in class of swarm intelligence. SMO is a population based… 
2014
2014
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection
Our objective is to develop formulations and algorithms for efficiently computing the feature selection path - i.e. the variation… 
2011
2011
Sequential Minimal Optimization in Adaptive-Bandwidth Convex Clustering
Computing not the local, but the global optimum of a cluster assignment is one of the important aspects in clustering. Convex… 
2009
2009
Intrusion detection with evolutionary learning classifier systems
Evolutionary Learning Classifier Systems (LCSs) combine reinforcement learning or supervised learning with effective genetics… 
2007
2007
SVM Classification for Large Data Sets by Considering Models of Classes Distribution
Despite of good theoretic foundations and high classification accuracy of support vector machines (SVM), normal SVM is not… 
Highly Cited
2005
Highly Cited
2005
Scholarship on Social Movement Organziations: Classic Views and Emerging Trends
This essay examines research on social movement organizations (SMOs) within each of the three major schools of social movement… 
2004
2004
On improving sequential minimal optimization
Platt's sequential minimal optimization has been widely adopted in modern implementations of support vector machines. This work… 
2003
2003
An Improvement Algorithm to Sequential Minimal Optimization
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 of single longitudinal mode operation in injection lasers with index-guiding structure
A condition for single longitudinal mode operation (SMO, for short) of index-guided injection lasers is given theoretically and… 
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