Learning Perceptrons and Piecewise Linear Classifiers Sensitive to Example Dependent Costs

Author：  

Publisher： Springer Publishing Company

ISSN： 0924-669X

Source： Applied Intelligence, Vol.21, Iss.1, 2004-07, pp. : 45-56

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Learning noisy linear classifiers via adaptive and selective sampling

By Cavallanti Giovanni   Cesa-Bianchi Nicolò   Gentile Claudio  

Machine Learning, Vol. 83, Iss. 1, 2011-04 ,pp. : 71-102

Springer Publishing Company

Access to resources Recommend Favorite

Anytime learning of anycost classifiers

By Esmeir Saher   Markovitch Shaul  

Machine Learning, Vol. 82, Iss. 3, 2011-03 ,pp. : 445-473

Springer Publishing Company

Access to resources Recommend Favorite

Approximating Points by a Piecewise Linear Function

By Chen Danny  

Algorithmica, Vol. 66, Iss. 3, 2013-07 ,pp. : 682-713

Springer Publishing Company

Access to resources Recommend Favorite

Implicit descriptions of piecewise-linear configurations

By Cel J  

COMPEL: Int J for Computation and Maths. in Electrical and Electronic Eng., Vol. 20, Iss. 4, 2001-08 ,pp. : 923-936

Emerald Group Publishing Ltd

Access to resources Recommend Favorite

Face recognition based on linear classifiers combination

By Jing X.   Zhang D.  

Neurocomputing, Vol. 50, Iss. unknown, 2003-01 ,pp. : 485-488

Elsevier

Access to resources Recommend Favorite