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Svm techniques - PowerPoint PPT Presentation


Support Vector Machines

Support Vector Machines

Support Vector Machines. Perceptron Revisited: Linear Separators . Binary classification can be viewed as the task of separating classes in feature space:. w T x + b = 0. w T x + b > 0. w T x + b < 0. f ( x ) = sign( w T x + b ). Linear Separators.

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924 views • 21 slides



Support Vector Machines

Support Vector Machines

Support Vector Machines. Perceptron Revisited: Linear Separators . Binary classification can be viewed as the task of separating classes in feature space:. w T x + b = 0. w T x + b > 0. w T x + b < 0. f ( x ) = sign( w T x + b ). Linear Separators.

★ ★ ★ ★ ★

532 views • 21 slides


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