'Svm light' diaporamas de présentation

Using Analytic QP and Sparseness to Speed Training of Support Vector Machines

Using Analytic QP and Sparseness to Speed Training of Support Vector Machines. John C. Platt Presented by: Travis Desell. Overview. Introduction Motivation General SVMs General SVM training Related Work Sequential Minimal Optimization (SMO) Choosing the smallest optimization problem

340 views • 23 slides

Text Classification using SVM-light

186 views • 13 slides

Disease risk prediction (experimental results)

Disease risk prediction (experimental results). Usman Roshan. Logistic regression. Gradient descent algorithm to minimize logistic loss Sigmoid function given by. SVM. Two implementations: SVM-light BMRM.

114 views • 3 slides