資源描述：
《高效貝葉斯網(wǎng)絡(luò)結(jié)構(gòu)學(xué)習(xí)算法研究》由會(huì)員上傳分享，免費(fèi)在線閱讀，更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫(kù)。
1、分類號(hào)TP301.6學(xué)號(hào)14060060ＵＤＣ004.9密級(jí)公開工學(xué)碩士學(xué)位論文高效貝葉斯網(wǎng)絡(luò)結(jié)構(gòu)學(xué)習(xí)算法研究碩士生姓名尹路珈學(xué)科專業(yè)計(jì)算機(jī)科學(xué)與技術(shù)研究方向分布式計(jì)算指導(dǎo)教師彭宇行研究員國(guó)防科學(xué)技術(shù)大學(xué)研究生院二〇一六年十一月ResearchonHigh-EfficiencyBayesianNetworkStructureLearningAlgorithmCandidate：YinLujiaAdvisor：PengYuxingAdissertationSubmittedinpartialfulfillmentoftherequirementsforthedegre
2、eofMasterofEngineeringinComputerScienceandTechnologyGraduateSchoolofNationalUniversityofDefenseTechnologyChangsha，Hunan，P.R.China（November，2016）國(guó)防科學(xué)技術(shù)大學(xué)研究生院碩士學(xué)位論文目錄摘要.................................................................................................................iABSTRA
3、CT.........................................................................................................ii第一章緒論......................................................................................................11.1研究背景..............................................................
4、.............................................11.1.1大數(shù)據(jù)時(shí)代下的數(shù)據(jù)挖掘技術(shù)..........................................................11.1.2貝葉斯網(wǎng)絡(luò)的產(chǎn)生與發(fā)展..................................................................21.1.3貝葉斯網(wǎng)絡(luò)結(jié)構(gòu)學(xué)習(xí)的研究現(xiàn)狀......................................................31.2問(wèn)題與
5、挑戰(zhàn).......................................................................................................51.2.1貝葉斯網(wǎng)絡(luò)結(jié)構(gòu)學(xué)習(xí)算法的挑戰(zhàn)......................................................51.2.2分布式貝葉斯網(wǎng)絡(luò)結(jié)構(gòu)學(xué)習(xí)算法的挑戰(zhàn)..........................................61.3本文工作..................................
6、.........................................................................61.3.1基于節(jié)點(diǎn)拓?fù)湫蛄械膯l(fā)式構(gòu)造算法研究......................................71.3.2分布式貝葉斯網(wǎng)絡(luò)結(jié)構(gòu)學(xué)習(xí)算法研究..............................................71.4論文結(jié)構(gòu)...........................................................................
7、................................8第二章相關(guān)工作.............................................................................................102.1貝葉斯網(wǎng)絡(luò)基本理論.....................................................................................102.1.1貝葉斯方法的基本觀點(diǎn)...................................
