快速支持向量机算法研究.pdf

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1、分类号TP391学号14063042UDC004.9密级公开工程硕士学位论文快速支持向量机算法研究硕士生姓名崔力娟工程领域计算机技术研究方向分布式机器学习指导教师彭宇行研究员国防科学技术大学研究生院二〇一七年一月ResearchonFastSupportVectorMachinesCandidate:CuiLijuanAdvisor:Prof.PengYuxingAdissertationSubmittedinpartialfulfillmentoftherequirementsforthedegreeofMasterofEngineerin

2、ginComputerTechnologyGraduateSchoolofNationalUniversityofDefenseTechnologyChangsha,Hunan,P.R.ChinaJanuary3,2017国防科学技术大学研究生院硕士学位论文目录摘要........................................................................................................................iABSTRACT............

3、...................................................................................................iii第一章绪论............................................................................................................11.1研究背景...................................................

4、................................................11.1.1大数据时代的来临........................................................................11.1.2机器学习........................................................................................21.1.3统计学习理论..............................

5、..................................................31.1.4支持向量机....................................................................................41.2问题与挑战...............................................................................................51.2.1支持向量机在单机环境下的挑战.....

6、...........................................51.2.2支持向量机在分布式环境下的挑战............................................61.3本文的主要研究工作...............................................................................71.3.1缩减非支持向量加速支持向量机................................................71.3.2

7、重塑树形结构加速层叠支持向量机............................................81.4论文结构...................................................................................................8第二章相关研究....................................................................................................

8、112.1引言...........................................................................