4.txt

This complete matlab for neural network

发信人: GzLi (笑梨), 信区: DataMining
标  题: Scaling Kernel-Based Systems to Large Data Sets
发信站: 南京大学小百合站 (Thu Jul  4 12:47:17 2002), 站内信件

篇名： Scaling Kernel-Based Systems to Large Data Sets 
刊名： Data Mining and Knowledge Discovery 
ISSN： 1384-5810 
卷期： 5 卷 3 期 出版日期： 200107  
页码： 从 197 页到 211 页共 15 页 
作者： Tresp Volker   Siemens AG, Corporate Technology, Otto-Hahn-Ring 6,
 81730 München, Germany. [e-mail]
 
 
文摘： 
In the form of the support vector machine and Gaussian processes, kernel-
based systems are currently very popular approaches to supervised learning
. Unfortunately, the computational load for training kernel-based systems
 increases drastically with the size of the training data set, such that 
these systems are not ideal candidates for applications with large data sets
. Nevertheless, research in this direction is very active. In this paper,
 I review some of the current approaches toward scaling kernel-based systems
 to large data sets.
 

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