广告主设计和投放广告：广告生命周期开始广告主的目的获取目标用户，将ROI最大化系统将对广告进行学习训练，得到估计点击率(pCTR)广告通过pCTR、pCVR、CPC等feature计算出ecpm参与竞价广告展示在媒体(QQ/Qzone/微信)上，获用户点击，为广告主带流量用户在广告主网站的行为例如下单，也会回馈到系统当广告主引流达到预期，广告主会下线广告：广告生命周期结束和广告主相关的一些feature，对应的pCTR、pCVR会记录在系统，用于下一次广告优化

Fusionofsyntheticapertureradar(SAR)andforwardlookinginfrared(FLIR)imagesisanimportantsubjectforaerospaceandsensorsurveillance.ThispaperpresentsaschemetoachieveanaturalcolorimagebasedonthecontoursfeatureofSARandthetargetregionfeatureofFLIRsothattheoverallscenerecognitionandsituationalawarenesscanbeimproved.TheSARandFLIRimagesarefirstdecomposedintosteerablepyramids,andthecontourmapsintheSARimageandtheregionmapsinthe

Thispracticalguideprovidesnearly200self-containedrecipestohelpyousolvemachinelearningchallengesyoumayencounterinyourdailywork.Ifyou’recomfortablewithPythonanditslibraries,includingpandasandscikit-learn,you’llbeabletoaddressspecificproblemssuchasloadingdata,handlingtextornumericaldata,modelselection,anddimensionalityreductionandmanyothertopics.Eachrecipeincludescodethatyoucancopyandpasteintoatoydatasettoensurethatitactuallyworks.Fromthere,youcaninsert,combine,oradaptthecodetohelpconstructyourapplication.Recipesalsoincludeadiscussionthatexplainsthesolutionandprovidesmeaningfulcontext.Thiscookbooktakesyoubeyondtheoryandconceptsbyprovidingthenutsandboltsyouneedtoconstructworkingmachinelearningapplications.You’llfindrecipesfor:Vectors,matrices,andarraysHandlingnumericalandcategoricaldata,text,images,anddatesandtimesDimensionalityreductionusingfeatureextractionorfeatureselectionModelevaluationandselectionLinearandlogicalregression,treesandforests,andk-nearestneighborsSupportvectormachines(SVM),naïveBayes,clustering,andneuralnetworksSavingandloadingtrainedmodels

DatabaseSystemConcepts——数据库系统概念第六版（英文版）作者：AbrahamSilberschatz(YaleUniversity)HenryF.Korth(LehighUniversity)S.Sudarshan(IndianInstituteofTechnology,Bombay)本书目录：Chapter1Introduction1.1Database-SystemApplications11.2PurposeofDatabaseSystems31.3ViewofData61.4DatabaseLanguages91.5RelationalDatabases121.6DatabaseDesign151.7DataStorageandQuerying201.8TransactionManagement221.9DatabaseArchitecture231.10DataMiningandInformationRetrieval251.11SpecialtyDatabases261.12DatabaseUsersandAdministrators271.13HistoryofDatabaseSystems291.14Summary31Exercises33BibliographicalNotes35Chapter2IntroductiontotheRelationalModel2.1StructureofRelationalDatabases392.2DatabaseSchema422.3Keys452.4SchemaDiagrams462.5RelationalQueryLanguages472.6RelationalOperations482.7Summary52Exercises53BibliographicalNotes55Chapter3IntroductiontoSQL3.1OverviewoftheSQLQueryLanguage573.2SQLDataDefinition583.3BasicStructureofSQLQueries633.4AdditionalBasicOperations743.5SetOperations793.6NullValues833.7AggregateFunctions843.8NestedSubqueries903.9ModificationoftheDatabase983.10Summary104Exercises105BibliographicalNotes112Chapter4IntermediateSQL4.1JoinExpressions1134.2Views1204.3Transactions1274.4IntegrityConstraints1284.5SQLDataTypesandSchemas1364.6Authorization1434.7Summary150Exercises152BibliographicalNotes156Chapter5AdvancedSQL5.1AccessingSQLFromaProgrammingLanguage1575.2FunctionsandProcedures1735.3Triggers1805.4RecursiveQueries1875.5AdvancedAggregationFeatures1925.6OLAP1975.7Summary209Exercises211BibliographicalNotes216Chapter6FormalRelationalQueryLanguages6.1TheRelationalAlgebra2176.2TheTupleRelationalCalculus2396.3TheDomainRelationalCalculus2456.4Summary248Exercises249BibliographicalNotes254Chapter7Datab

支持向量机源码，可在www.csie.ntu.edu.tw/~cjlin/libsvm/下载到最新版本，该版本是2013年4月更新的，3.17版。
压缩包里面有源代码和文档。
以下摘自前述网站：IntroductionLIBSVMisanintegratedsoftwareforsupportvectorclassification,(C-SVC,nu-SVC),regression(epsilon-SVR,nu-SVR)anddistributionestimation(one-classSVM).Itsupportsmulti-classclassification.Sinceversion2.8,itimplementsanSMO-typealgorithmproposedinthispaper:R.-E.Fan,P.-H.Chen,andC.-J.Lin.WorkingsetselectionusingsecondorderinformationfortrainingSVM.JournalofMachineLearningResearch6,1889-1918,2005.Youcanalsofindapseudocodethere.(howtociteLIBSVM)OurgoalistohelpusersfromotherfieldstoeasilyuseSVMasatool.LIBSVMprovidesasimpleinterfacewhereuserscaneasilylinkitwiththeirownprograms.MainfeaturesofLIBSVMincludeDifferentSVMformulationsEfficientmulti-classclassificationCrossvalidationformodelselectionProbabilityestimatesVariouskernels(includingprecomputedkernelmatrix)WeightedSVMforunbalanceddataBothC++andJavasourcesGUIdemonstratingSVMclassificationandregressionPython,R,MATLAB,Perl,Ruby,Weka,CommonLISP,CLISP,Haskell,OCaml,LabVIEW,andPHPinterfaces.C#.NETcodeandCUDAextensionisavailable.It'salsoincludedinsomedataminingenvironments:RapidMiner,PCP,andLIONsolver.Automaticmodelselectionwhichcangeneratecontourofcrossvaliationaccuracy.

DavidJ.HandDepartmentofMathematics,ImperialCollegeLondon,London,UKDataminingisthediscoveryofinteresting,unexpectedorvaluablestructuresinlargedatasets.Assuch,ithastworatherdifferentaspects.Oneoftheseconcernslarge-scale,‘global’structures,andtheaimistomodeltheshapes,orfeaturesoftheshapes,ofdistributions.

用于无声卡电脑-VirtualAudioCableAtfirst,pleaseunpackthedistributionpackageintoanemptyfolderonalocaldrive,makingsurethatlocalfolderpathdoesnotcontainspecialcharacterslike"#","&"orsimilar.Unpackingthepackage,preservefolderstructure(afterunpacking,destinationfoldershouldcontain"x86"and"x64"subfolders).IfyouarenewtoVirtualAudioCable,pleasereadtheusermanualbeforeinstallation.ThebestwaytoopenthemanualistoruninstallerapplicationnamedSetupandclickthe"Help"buttoninthefirstinstallationdialog.Theusermanualfile(vac.chm,afilenamed"vac"withasheetandquestionmarkicon)isanHTMLHelpformatfile.Donotopenmanualfilefromanetworkpathordirectlyfromthepackageotherwisehelppagesmaynotbedisplayedduetosecurityrestrictions.Copythefiletoalocaldrivebeforeopening.Pleasemakesurethatlocalfilepathdoesnotcontainspecialcharacters.Ifusermanualfileisopenedfromalocaldrivebutpagesontherightpanearenotdisplayedproperly,pleasecheckifvac.chmfilehasthe"Unblock"buttoninitsPropertiesform(right-clickthefiletoopenitsproperties).Ifyes,unblockit.Seealso"Howblockingsomeattachmentshelpsprotectyourcomputer"topicinWindowsHelp(Start-HelpandSupport)andhttp://support.microsoft.com/kb/902225.Readingthemanual,don'tforgetthatthereisthe"Search"tab.Havingaproblem,entersomewordsrelatedtotheproblemandappropriatepageswillbedisplayed.Ofcourse,searchfeaturewillnothelpifyouenteraquestionlike"howcanIuseit?".Itonlyfindspagescontaininggivenkeywords.

OverviewThisOPCUAreferenceimplementationistargetingthe.NETStandardLibrary..NetStandardallowsdevelopingappsthatrunonallcommonplatformsavailabletoday,includingLinux,iOS,Android(viaXamarin)andWindows7/8/8.1/10(includingembedded/IoTeditions)withoutrequiringplatform-specificmodifications.Furthermore,cloudapplicationsandservices(suchasASP.Net,DNX,AzureWebsites,AzureWebjobs,AzureNanoServerandAzureServiceFabric)arealsosupported.Featuresincluded1. FullyportedCoreUAstackandSDK(Client,Server,Configuration&Sampleassemblies)2. SampleServersandClients,includingallrequiredcontrols,for.Net4.6,.NetCoreandUWP.3. X.509certificatesupportforclientandserverauthentication4. Anonymous,username,X.509certificate(experimental)andJWT(experimental)userauthentication5. UA-TCP&HTTPStransports(clientandserver)6. Foldercertificate-storesupport7. Sessions(includingUIsupportinthesamples)8. Subscriptions(includingUIsupportinthesamples)GettingStartedAllthetoolsyouneedfor.NetStandardcomewiththe.NetCoretools.Seehereforwhatyouneed.HowtocreateselfsignedcertificatesforthesampleapplicationsOnWindows1. Openacommandpromptintherootfolderofyourrepository2. RunthescriptCreateAllCerts.cmdintherootfolderofyourrepositorytocreatethecertificatesforallsampleapplications.3. Alternatively,youcanrunthescriptCreateCert.cmdineachsampleprojectfoldertocreatenewselfsignedcertificatesfortheapplication.4. TheselfsignedcertificatesarestoredinOPCFoundation/CertificateStores/MachineDefaultineachapplicationprojectfolderOnLinux1. Openacommandprompt2. Navigatetotheprojectfolderofthesampleapp,e.g.SampleApplications/Samples/NetCoreConsoleClient3. Runthescript./createcert.shtocreatethecertificatesforthesampleapplications.4. TheselfsignedcertificatesarestoredinOPCFoundati

AsuswrtisthenameofthecommonfirmwareAsushasdevelopedfortheirvariousroutermodels.OriginallyforkedfromTomato,ithassincegrownintoaverydifferentproduct,removingsomemoretechnicalfeaturesthatwerepartofTomato,butalsoaddingneworiginalfeaturessuchassupportfordualWANs.Asuswrt-merlinisacustomizedversionofAsus'sfirmware.ThegoalistoprovidebugfixesandminorenhancementstoAsus'sfirmware,withalsoafewoccasionalfeatureadditions.Thisisdonewhileretainingthelookandfeeloftheoriginalfirmware,andalsoensuringthatthetwocodebasesremaincloseenoughsoitwillremainpossibletokeepupwithanynewfeaturesbroughtbyAsusintheoriginalfirmware.Thisproject'sgoalisNOTtodevelopyetanotherfirmwarefilledwithmanyfeaturesthatarerarelyusedbyhomeusers-thatisalreadycoveredbyotherexcellentprojectssuchasTomatoorDD-WRT.Thismoreconservativeapproachwillalsohelpensuringthehighestlevelofstabilitypossible.Priorityisgiventostabilityoverperformance,andperformanceoverfeatures.

jigoo_464插件：(1)将下载下来的jigoo_464解压，会看到features和plugins，分别将这两个文件夹下的子文件夹拷贝到你eclipse包的features和plugins中，然后重启即可完成插件的安装，这是一种最为简单的插件安装方式，之后如果想要移除的话只需要将这两个文件卸载就可以了。
（2）第二种方式推荐使用，因为他可以避免对原有的Eclipse的目录造成破会，方便插件的移除。
这种方法也很好理解，只是用一个link文件将插件的路径包含在里面而不是像方法一那样直接拷贝进去。

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。