<--- Back to Details
First PageDocument Content
Support vector machines / Statistical classification / Kernel methods / Sequential minimal optimization / Silicon Valley Microelectronics / Vector space / SVM / Machine learning / Algebra / Statistics
Date: 2011-10-29 17:48:32
Support vector machines
Statistical classification
Kernel methods
Sequential minimal optimization
Silicon Valley Microelectronics
Vector space
SVM
Machine learning
Algebra
Statistics

LNCS[removed]Face Authentication Using One-Class Support Vector Machines

Add to Reading List

Source URL: profs.sci.univr.it

Download Document from Source Website

File Size: 200,88 KB

Share Document on Facebook

Similar Documents

Machine learning / Learning / Support vector machines / Artificial intelligence / Sequential minimal optimization / Multiple kernel learning / NC / Kernel method / KarushKuhnTucker conditions

Multiple Kernel Learning, Conic Duality, and the SMO Algorithm Francis R. Bach & Gert R. G. Lanckriet {fbach,gert}@cs.berkeley.edu Department of Electrical Engineering and Computer Science, University of California, Ber

DocID: 1qrpT - View Document

Support vector machines / Statistical classification / Feature selection / Sequential minimal optimization / Sepp Hochreiter / Vector space / Duality / Least squares support vector machine / Ranking SVM

Nonlinear Feature Selection with the Potential Support Vector Machine Sepp Hochreiter and Klaus Obermayer Technische Universit¨ at Berlin Fakult¨

DocID: 1p8pc - View Document

Chest Pain in the Emergency Department: Use of Asymmetric Penalties in Sequential Minimal Optimization with Feature Selection to Improve Clinical Decision Making Accuracy

DocID: 1mhG3 - View Document

Statistical classification / Support vector machines / Sequential minimal optimization / Perceptron / Kernel methods / Vector space / Linear classifier / Kernel / Active learning / Machine learning / Statistics / Algebra

Journal of Machine Learning Research–1619 Submitted 3/05; Published 9/05 Fast Kernel Classifiers with Online and Active Learning

DocID: 1aWyS - View Document

Operations research / Statistical classification / Support vector machine / Mathematical optimization / Stochastic gradient descent / Algorithm / Gradient descent / Sequential minimal optimization / Ranking SVM / Statistics / Numerical analysis / Mathematics

0 Large Linear Classification When Data Cannot Fit In Memory Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang and Chih-Jen Lin, Department of Computer Science, National Taiwan University Recent advances in linear classificati

DocID: 1964R - View Document