Support Vector Machines for Antenna Array Processing and Electromagnetics
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Support Vector Machines (SVM) were introduced in the early 90''s as a novel nonlinear solution for classification and regression tasks. These techniques have been proved to have superior performances in a large variety of real world applications due to their generalization abilities and robustness against noise and interferences.This book introduces a set of novel techniques based on SVM that are ...
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Support Vector Machines (SVM) were introduced in the early 90''s as a novel nonlinear solution for classification and regression tasks. These techniques have been proved to have superior performances in a large variety of real world applications due to their generalization abilities and robustness against noise and interferences.This book introduces a set of novel techniques based on SVM that are ...
Read more
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