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《机器学习_Bach Chorales Data Set(巴赫众赞歌数据集)》由会员上传分享，免费在线阅读，更多相关内容在行业资料-天天文库。
1、BachChoralesDataSet(巴赫众赞歌数据集)数据摘要：Time-seriesdatabasedonchorales;challengeistolearngenerativegrammar;datainLisp中文关键词：机器学习,多变量,分类,UCI,巴赫众赞歌,英文关键词：MachineLearning,MultiVarite,UCI,BachChorales,数据格式：TEXT数据用途：Thisdatasetisusedtolearngenerativegrammar.数据详细介绍：BachChoralesDataSetAbstract:Time-seriesdatab
2、asedonchorales;challengeistolearngenerativegrammar;datainLispDataSetUnivariate,Numberof100Area:N/ACharacteristics:Time-SeriesInstances:AttributeCategorical,Numberof6DateDonatedN/ACharacteristics:IntegerAttributes:MissingNumberofAssociatedTasks:N/ANo13879Values?WebHits:Source:Chorales:MainousandOt
3、tmanedition.Mainous,FrankD.andRobertW.Ottman,eds.1966.The371BachChorales.Holt,RinehartandWinston,NewYork.OriginalOwnersofDatabase:DarrellConklinZymoGeneticsInc.1201EastlakeAvenueEastSeattleWA,98102conklin'@'zgi.comDonorofdatabase:Sameasowner.AnnBlombachofOhioStateUniversityoriginallysuppliedmewit
4、h4-voiceencodingsof100chorales.Thepresentdatabaseisthesopranoline,convertedintoLisp-readableform,andextensivelycorrected.DataSetInformation:Sequential(time-series)domain.Single-linemelodiesof100Bachchorales(originally4voices).Themelodylinecanbestudiedindependentlyofothervoices.Thegrandchallengeis
5、tolearnagenerativegrammarforstylisticallyvalidchorales(seereferencesanddiscussionin"MultipleViewpointSystemsforMusicPrediction").AttributeInformation:NumberofAttributes:6(nominal)perevent(a)start-time,measuredin16thnotesfromchoralebeginning(time0)(b)pitch,MIDInumber(60=C4,61=C#4,72=C5,etc.)(c)dur
6、ation,measuredin16thnotes(d)keysignature,numberofsharpsorflats,positiveifkeysignaturehassharps,negativeifkeysignaturehasflats(e)timesignature,in16thnotesperbar(f)fermata,trueorfalsedependingonwhethereventisunderafermataAttributedomains(allintegers):(a){0,1,2,...}(b){60,...,75}(c){1,...,16}(d){-4,
7、...,+4}(e){12,16}(f){0,1}RelevantPapers:Conklin,DarrellandWitten,Ian.1995.MultipleViewpointSystemsforMusicPrediction.JournalofNewMusicResearch.24(1):51-73.[WebLink]数据预览：点此下载完整数据集
