'Soft margin classification' presentation slideshows

CS276: Information Retrieval and Web Search Christopher Manning and Pandu Nayak

CS276: Information Retrieval and Web Search Christopher Manning and Pandu Nayak Lecture 14: Support vector machines and machine learning on documents. [Borrows slides from Ray Mooney]. Text classification: Up until now and today. Previously: 3 algorithms for text classification

752 views • 48 slides

Machine Learning

Machine Learning. 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. g ( x ) = sign( w T x + b ). Linear Discriminant Function.

720 views • 43 slides

Machine Learning

Machine Learning. 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. g ( x ) = sign( w T x + b ). Linear Discriminant Function.

436 views • 43 slides

Roughly overview of Support vector machines

496 views • 30 slides

Rohit Kate

330 views • 22 slides