A Relevance Vector Machine Prediction Method Based on the Biased Wavelet Kernel Function

Publisher： Edp Sciences

E-ISSN： 2271-2097|12|issue|05002-05002

ISSN： 2271-2097

Source： ITM Web of conferences, Vol.12, Iss.issue, 2017-09, pp. : 05002-05002

Access to resources Favorite

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

On selection of kernel parametes in relevance vector machines for hydrologic applications

By Tripathi Shivam  

Stochastic Environmental Research and Risk Assessment, Vol. 21, Iss. 6, 2007-11 ,pp. : 747-764

Springer Publishing Company

Access to resources Recommend Favorite

Accelerating Relevance Vector Machine for Large-Scale Data on Spark

By  

ITM Web of conferences, Vol. 12, Iss. issue, 2017-09 ,pp. : 01024-01024

Edp Sciences

Access to resources Recommend Favorite

A kernel function based Interior-Point Methods for solving ()-linear complementarity problem

By Peyghami M.   Amini Keyvan  

Acta Mathematica Sinica, Vol. 26, Iss. 9, 2010-09 ,pp. : 1761-1778

Springer Publishing Company

Access to resources Recommend Favorite

A PRIMAL-DUAL INTERIOR-POINT ALGORITHM BASED ON A NEW KERNEL FUNCTION

By  

ANZIAM Journal, Vol. 51, Iss. 4, 2011-02 ,pp. : 476-491

Cambridge University Press

Access to resources Recommend Favorite

A Wavelet Analysis-Based Dynamic Prediction Algorithm to Network Traffic

By  

ITM Web of conferences, Vol. 7, Iss. issue, 2016-11 ,pp. : 09025-09025

Edp Sciences

Access to resources Recommend Favorite