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统计机器学习研究
  • ISSN号：1000-2367
  • 期刊名称：《河南师范大学学报：自然科学版》
  • 时间：0
  • 分类：TP273[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构：[1]河南师范大学数学与信息科学学院,河南新乡453007, [2]新乡学院数学系,河南新乡453003
  • 相关基金：国家自然科学基金项目（60850004,60727002,60774003）; 国家重点基础研究发展规划（973）项目（2005CB321902）; 国防基础研究项目（A2120061303）; 河南师范大学青年科学基金（2010qk01,2010qk21）
作者： 李钧涛[1], 杨瑞峰[2], 左红亮[1]
关键词： 统计学习, 机器学习, 支持向量机, statistical learning, machine learning, support vector machine
中文摘要：

通过将正则化框架引入到统计学习中来,介绍了几种当前流行的统计学习机器,分析了他们的性能,并探讨了快速求解算法.

英文摘要：

Several kinds of popular statistical learning machines are presented by introducing the framework of regularization into statistical learning theory.The performances of the proposed statistical learning machines are analyzed and the fast solving algorithms are discussed.

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期刊信息
  • 《河南师范大学学报：自然科学版》
  • 北大核心期刊（2011版）
  • 主管单位:河南师范大学
  • 主办单位:河南师范大学
  • 主编：王记录
  • 地址：河南省新乡市建设东路46号
  • 邮编：453007
  • 邮箱：
  • 电话：0373-3329394 3329272
  • 国际标准刊号：ISSN：1000-2367
  • 国内统一刊号：ISSN：41-1109/N
  • 邮发代号:36-55
  • 获奖情况:
  • 国家新闻出版局、国家科委优秀学报奖,河南省科委、河南省教委优秀学报
  • 国内外数据库收录:
  • 美国化学文摘（网络版）,美国数学评论（网络版）,英国农业与生物科学研究中心文摘,德国数学文摘,英国动物学记录,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）
  • 被引量:7535