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He’s credited with coming up with the first support vector machine (SVM) algorithm. SVMs are widely used today for machine learning purposes.
In this paper, a novel hybrid approach integrating genetic algorithm (GA) and support vector machines (SVM) is proposed to conduct the key factor exploration tasks in the core competitiveness ...
The Annals of Statistics, Vol. 36, No. 2 (Apr., 2008), pp. 489-531 (43 pages) The support vector machine (SVM) algorithm is well known to the computer learning community for its very good practical ...
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Tech Xplore on MSNTowards better earthquake risk assessment with machine learning and geological survey data
"A building is only as strong as its foundation" is a common adage to signify the importance of having a stable and solid base to build upon. The type and design of foundation are important for ...
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