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  1. Sphere-Structured Support Vector Machines for Multi-class Pattern Recognition

  2. 超球结构支持向量机用于多分类问题。Support vector machines (SVM) are learning algorithms derived from statistical learning theory. The SVM approach was originally developed for binary classification problems. For solving multi-class classification problem, there are
  3. 所属分类:其它

    • 发布日期:2009-09-11
    • 文件大小:68kb
    • 提供者:wangkai73
  1. Maximal Margin Sphere-Structured Multi-class Support Vector Machine

  2. Appl Intell (2009) 30: 98–111 DOI 10.1007/s10489-007-0101-z A new maximal-margin spherical-structured multi-class support vector machine Pei-Yi Hao · Jung-Hsien Chiang · Yen-Hsiu Lin Published online: 18 October 2007 © Springer Science+Business Medi
  3. 所属分类:专业指导

    • 发布日期:2013-08-30
    • 文件大小:1mb
    • 提供者:haupy
  1. Big.Data.Analytics.with.Spark.and.Hadoop.17858

  2. Key Features This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structu
  3. 所属分类:互联网

    • 发布日期:2016-10-19
    • 文件大小:6mb
    • 提供者:ramissue
  1. Big.Data.Analytics.with.Spark.and.Hadoop 0分下载

  2. Key Features This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structu
  3. 所属分类:其它

    • 发布日期:2016-10-21
    • 文件大小:6mb
    • 提供者:robertyuzj