[1]谭东宁,谭东汉.小样本机器学习理论:统计学习理论[J].南京理工大学学报(自然科学版),2001,(01):108-112.
 TanDongnin TanDonghan.Small-sample Machine Learning Theory: Statistical Learning Theory[J].Journal of Nanjing University of Science and Technology,2001,(01):108-112.
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小样本机器学习理论:统计学习理论
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2001年01期
页码:
108-112
栏目:
出版日期:
2001-02-28

文章信息/Info

Title:
Small-sample Machine Learning Theory: Statistical Learning Theory
作者:
谭东宁谭东汉1
( 信息产业部电子第55 研究所, 南京210016) ( ¹ 南京理工大学机械学院, 南京210094)
Author(s):
TanDongnin TanDonghan①
Electronic 55 th Institude,Ministry of Information Industry,Nanjing 210016)
关键词:
样本 统计估计 模式识别 统计学习理论 机器学习
Keywords:
sample trees stat ist ical est imat ion pattern recognit ion statist ical learning theory machine learning
分类号:
TP18
摘要:
统计学习理论是由Vapnik等人提出的一种有限样本统计理论 ,是模式识别领域新近发展的一种新理论 ,着重研究在小样本情况下的统计规律及学习方法性质。它为小样本机器学习问题建立了一个较好的理论框架 ,也发展了一种新的通用学习算法———支持向量机 ,较好地解决了小样本机器学习问题。该文旨在介绍统计学习理论的基本思想、特点、研究现状和一些思考
Abstract:
Stat ist ical Learning T heory, a recent ly developed new theory for pattern recogn-i t ion, is a smal-l sample stat ist ics proposed by Vapnik et al, w hich deals mainly w ith the statist ic principles w hen samples are limited, especially to describe the propert ies of learning procedure in such cases. It provides us a new framework for the smal-l sample learning problem, and also a novel powerful learning method called Support Vector Machine, w hich can solve smal-l sample learning problem better. T his paper w ill introduce the basic ideas of the theory, its major characterist ics, some current research t rends of it and some thinking from us about it .

参考文献/References:

1 Vapnik V N. Estimation of dependencies based o n empir ical data. Berlin: Spr ing er-Verlag , 1982
2 Vapnik V N. The nature of statistical learning theory. New York: Spr inger-Verlag, 1995
3 Cherkassky V, Mulier F. Learning from data: concepts, theory and met hods. New York: Jo hn Viley& Sons, 1997
4 加肇祺1 模式识别1 北京: 清华大学出版社, 1988
5 Vapnik V N, Lev in E, Le Cun Y. Measuring the VC-dimensio n of a learning machine. Neural Computation, M IT Press, 1994( 6) : 851~ 876

备注/Memo

备注/Memo:
国家自然科学基金资助项目;国家教委博士后基金资助项目!(项目号 698850 0 4 )
谭东宁 男 39 岁 博士后
更新日期/Last Update: 2013-03-25