Abstract
This chapter covers details of the support vector machine (SVM) technique, a sparse kernel decision machine that avoids computing posterior probabilities when building its learning model. SVM offers a principled approach to problems because of its mathematical...
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CITATION STYLE
APA
Awad, M., & Khanna, R. (2015). Support Vector Machines for Classification. In Efficient Learning Machines (pp. 39–66). Apress. https://doi.org/10.1007/978-1-4302-5990-9_3
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