学生信息管理系统UML图,包括活动图,时序图,类图,状态图!
2025/8/29 17:15:33 366KB UML图
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矩阵论程云鹏张凯院徐仲著第三版西北工业大学出版社目录第1章线性空间与线性变换第2章范数理论及其应用第3章矩阵分析及其应用第4章矩阵分解第5章特征值的估计及对称矩阵的极性第6章广义逆矩阵*第7章若干特殊矩阵类介绍
2025/8/29 11:46:56 24.23MB 矩阵论  程云鹏 第三版
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蓝牙打印文字加二维码,二维码生成,工厂物料条码,随意布局,蓝牙工具类,蓝牙连接
2025/8/29 9:43:22 13.38MB Android
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DaphneKoller关于ProbabilisticGraphicalModels的最权威大作,内容详实深入,是各大名校机器学习和人工智能专业相应课程的指定教材AdaptiveComputationandMachineLearningThomasdietterich,EditorChristopherBishop,DavidHeckerman,MichaelJordan,andMichaelKearns,AssociateEditorsBioinformatics:TheMachinelearningApproach,PierreBaldiandSorenBrunakReinforcementLearning:AnIntroduction,RichardS.SuttonandAndrewG.BartoGraphicalmodelsforMachineLearningandDigitalCommunication,BrendanJ.FreyLearningingraphicalModels,MichaelI.JordanCausation,Prediction,andSearch,2nded,PeterSpirtes,ClarkGlymour,andRichardScheinesPrinciplesofDataMining,DavidHand,HeikkiMannila,andPadhraicSmythBioinformatics:TheMachineLearningApproach,2nded,PierreBaldiandSorenBrunakLearningKernelclassifiers:TheoryandAlgorithms,RalfHerbrichLearningwithKernels:SupportVectorMachines,Regularization,Optimization,andBeyond,BernhardScholkopfandAlexanderJsmolaIntroductiontoMachineLearning,EthemAlpaydinGaussianProcessesforMachineLearning,CarlEdwardRasmussenandChristopherK.I.WilliamsSemi-SupervisedLearning,OlivierChapelle,BernhardScholkopf,andAlexanderZien,edsTheMinimumdescriptionLengthPrinciple,PeterDGrunwaldIntroductiontoStatisticalRelationalLearning,liseGetoorandBenTaskar,edsProbabilisticGraphicalModels:PrinciplesandTechniques,DaphneKollerandNirFriedmanProbabilisticGraphicalModelsPrinciplesandTechniquesDaphnekollerNirfriedmanThemitpressCambridge,MassachusettsLondon,England@2009MassachusettsInstituteofTechnologyAllrightsreserved.Nopartofthisbookmaybereproducedinanyformbyanyelectronicormechanicalmeans(includingphotocopying,recording,orinformationstorageandretrieval)withoutpermissioninwritingfromthepublisherForinformationaboutspecialquantitydiscounts,pleaseemailspecial_sales@mitpress.mit.eduThisbookwassetbytheauthorsinBlFX2EPrintedandboundintheunitedstatesofamericaLibraryofCongressCataloging-in-PublicationDataKoller,DaphneProbabilisticGraphicalModels:PrinciplesandTechniquesDaphneKollerandNirFriedmanpcm.-(Adaptivecomputationandmachinelearning)IncludesbibliographicalreferencesandindexisBn978-0-262-01319-2(hardcover:alk.paper1.Graphicalmodeling(Statistics)2.Bayesianstatisticaldecisiontheory--Graphicmethods.IKoller,Daphne.II.Friedman,NirQA279.5.K652010519.5’420285-dc222009008615109876543ToourfamiliesmyparentsDovandditzamyhusbanddanmydaughtersnatalieandmayaDKmyparentsNogaandGadmywifemychildrenroyandliorMEAsfarasthelawsofmathematicsrefertoreality,theyarenotcertain,asfarastheyarecertain,theydonotrefertorealityAlberteinstein1956Whenwetrytopickoutanythingbyitself,wefindthatitisboundfastbyathousandinvisiblecordsthatcannotbebroken,toeverythingintheuniverseJohnMuir,1869Theactualscienceoflogicisconversantatpresentonlywiththingseithercertain,impossible,orentirelydoubtful.Thereforethetruelogicforthisworldisthecalculusofprobabilities,whichtakesaccountofthemagnitudeoftheprobabilitywhichis,oroughttobe,inareasonableman'smindJamesClerkMaxwell,1850Thetheoryofprobabilitiesisatbottomnothingbutcommonsensereducedtocalculus;itenablesustoappreciatewithexactnessthatwhichaccuratemindsfeelwithasortofinstinctforwhichofttimestheyareunabletoaccount.PierreSimonLaplace,1819MisunderstandingofprobabilitymaybethegreatestofallimpedimentstoscientificliteracyStephenJayGouldContentsAcknowledgmentsListoffiguresListofalgorithmsListofboxesXXX1IntroductionL1Motivation11.2StructuredProbabilisticModels21.2.1ProbabilisticGraphicalModels31.2.2Representation,Inference,Learning51.3Overviewandroadmap61.3.1OverviewofChapters61.3.2Readersguide1.3.3ConnectiontoOtherDisciplines1.4Historicalnotes122Foundations2.1ProbabilityTheory2.1.1ProbabilityDistributions152.1.2BasicConceptsinProbability182.1.3RandomVariablesandJointDistributions192.1.4IndependenceandConditionalIndependence2:2.1.5QueryingaDistribution2.1.6ContinuousSpaces272.1.7ExpectationandVariance312.2Graphs342.2.1Nodesandedges342.2.2Subgraphs352.2.3Pathsandtrails36
2025/8/27 2:53:35 7.51MB PGM
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本课程是DSP技术类课程配套的课程设计,要求学生通过高级语言或汇编语言编程实现较复杂的功能。
通过课程设计,使学生加深对DSP芯片TMS320C54x的结构、工作原理的理解,获得DSP应用技术的实际训练,掌握设计较复杂DSP系统的基本方法。
2025/8/26 17:36:58 534KB Matlab CCS
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BN层pytorch源码,天气数据四分类问题BN层pytorch源码,天气数据四分类问题
2025/8/26 8:36:41 117KB pytorch
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Android实现射击类游戏《抢滩登陆》视频教程(附PPT+源码).rar
2025/8/26 6:56:33 113.25MB 抢滩登陆 射击类游戏 视频教程 源码
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TCP通讯的Android依赖库,AndroidStudio可直接集成,实现TCP通讯,默认发送心跳包断线自动重连,包含一个字节处理的工具类
2025/8/26 6:28:45 68KB Android TCP
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TechSmith_Camtasia_2019.0.1_Build_4626_x64_Crack_Only_Downloadly.ir.rar
2025/8/26 3:35:18 871KB Delphi
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灯的最外围是苹果了、香蕉了。
先压分,然后点击开始,音乐开始播放,灯开始转。
最后出现分数,和最高分改良的地方是,除了灯可以转,最外围的水果图标也可以转主要运用的是java线程技术类的数组
2025/8/25 19:14:31 172KB java程序 老虎机 苹果机
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在日常工作中,钉钉打卡成了我生活中不可或缺的一部分。然而,有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚,我总是得牢记打开钉钉应用,点击"工作台",再找到"考勤打卡"进行签到。有时候因为工作忙碌,会忘记打卡,导致考勤异常,影响当月的工作评价。而且,由于我使用的是苹果手机,有时候系统更新后,钉钉的某些功能会出现异常,使得打卡变得更加麻烦。 另外,我的家人使用的是安卓手机,他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说,每次打卡都是一次挑战。他们总是担心自己会操作失误,导致打卡失败。 为了解决这些烦恼,我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习,我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。
2024-04-09 15:03 15KB 钉钉 钉钉打卡