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  • chap4_naive_bayes.ppt
       Classification: Basic Concepts and Techniques - Naïve Bayes Classifier

  • 1.08 MB
  • 2018-4-3

  • SpringerBriefs in Statistics.rar

    本附件包括：
    • (SpringerBriefs in Statistics) The Naive Bayes Model for Unsupervised Word Sense Disambiguation_ Aspects Concerning Feature Selection-Springer-Verlag Berlin Heidelberg (2.pdf
    • (SpringerBriefs in Statistics) An Introduction to Bartlett Correction and Bias Reduction-Springer-Verlag Berlin Heidelberg (2014).pdf
    • (SpringerBriefs in Statistics) Applied Matrix and Tensor Variate Data Analysis-Springer Japan (2016).pdf
    • (SpringerBriefs in statistics) Applied multidimensional scaling-Springer (2013).pdf
    • (SpringerBriefs in Statistics) Bayesians Versus Frequentists_ A Philosophical Debate on Statistical Reasoning-Springer-Verlag Berlin Heidelberg (2016).pdf
    • (SpringerBriefs in Statistics) Brief Guidelines for Methods and Statistics in Medical Research-Springer Singapore (2015).pdf
    • (SpringerBriefs in Statistics) Convolution Copula Econometrics-Springer International Publishing (2016).pdf
    • (SpringerBriefs in Statistics) Formulas Useful for Linear Regression Analysis and Related Matrix Theory_ It's Only Formulas But We Like Them-S.pdf
    • (SpringerBriefs in Statistics) Generalized Hyperbolic Secant Distributions_ With Applications to Finance-Springer-Verlag Berlin Heidelberg (2014).pdf
    • (SpringerBriefs in Statistics) Generalized Weibull Distributions-Springer-Verlag Berlin Heidelberg (2014).pdf
    • (SpringerBriefs in Statistics) Group-Sequential Clinical Trials with Multiple Co-Objectives-Springer Japan (2016).pdf
    • (SpringerBriefs in Statistics) Handling Missing Data in Ranked Set Sampling(2013).pdf
    • (SpringerBriefs in Statistics) Interactive LISREL in Practice_ Getting Started with a SIMPLIS Approach-Springer-Verlag Berlin Heidelberg (2011).pdf
    • (SpringerBriefs in Statistics) Introduction to Data Analysis and Graphical Presentation in Biostatistics with R_ Statistics in the Large-Springer International Publishing.pdf
    • (SpringerBriefs in statistics) L1-norm and L[infinity symbol]-norm estimation _ an introduction to the least absolute residuals, the minimax absolute residual and related fitting pro.pdf
    • (SpringerBriefs in Statistics) Lévy Processes and Their Applications in Reliability and Storage-Springer (2013).pdf
    • (SpringerBriefs in Statistics) Long-Range Dependence and Sea Level Forecasting-Springer International Publishing (2013).pdf
    • (SpringerBriefs in Statistics) Model Choice in Nonnested Families(2016).pdf
    • (SpringerBriefs in Statistics) Modern Methodology and Applications in Spatial-Temporal Modeling-Springer (2016).pdf
    • (SpringerBriefs in Statistics) Multivariate Statistical Quality Control Using R-Springer-Verlag New York (2013).pdf
    • (SpringerBriefs in Statistics) Optimal Experimental Design for Non-Linear Models_ Theory and Applications-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Optimal Stochastic Control Schemes within a Structural Reliability Framework-Springer International Publishing (2013).pdf
    • (SpringerBriefs in Statistics) Penalty, Shrinkage and Pretest Strategies_ Variable Selection and Estimation(2014).pdf
    • (SpringerBriefs in Statistics) Permutation Testing for Isotonic Inference on Association Studies in Genetics -Springer-Verlag Berlin.pdf
    • (SpringerBriefs in Statistics) Permutation Tests in Shape Analysis-Springer-Verlag New York (2013).pdf
    • (SpringerBriefs in Statistics) Person-Centered Methods_ Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables-Springer International Publis.pdf
    • (SpringerBriefs in Statistics) Renewal Processes-Springer International Publishing (2014).pdf
    • (SpringerBriefs in Statistics) Restricted Kalman Filtering_ Theory, Methods, and Application(2012).pdf
    • (SpringerBriefs in Statistics) Sample Size Determination in Clinical Trials with Multiple Endpoints-Springer International.pdf
    • (SpringerBriefs in Statistics) Sampling Designs Dependent on Sample Parameters of Auxiliary Variables-Springer-Verlag Berlin Heidelberg (2015).pdf
    • (SpringerBriefs in Statistics) Singular Spectrum Analysis for Time Series-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Software Reliability Modeling_ Fundamentals and Applications(2014).pdf
    • (SpringerBriefs in Statistics) SPSS for Starters, Part 2-Springer Netherlands (2012).pdf
    • (SpringerBriefs in Statistics) Statistical Analysis of Clinical Data on a Pocket Calculator, Part 2_ Statistics on a Pocket Calculator, Part 2-Springer Ne.pdf
    • (SpringerBriefs in Statistics) Statistical Approaches to Orofacial Pain and Temporomandibular Disorder.pdf
    • (SpringerBriefs in Statistics) Statistical Decision Theory-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Statistical Inference for Discrete Time Stochastic Processes-Springer India (2013).pdf
    • (SpringerBriefs in Statistics) Statistical Inference for Financial Engineering-Springer International Publishing (2014).pdf
    • (SpringerBriefs in Statistics) Statistical Models for Proportions and Probabilities-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Statistical Signal Processing_ Frequency Estimation-Springer India (2012).pdf
    • (SpringerBriefs in Statistics) Strategic Economic Decision-Making_ Using Bayesian Belief Networks to Solve Complex Problems-Springer-Verlag New York (2013).pdf
    • (SpringerBriefs in Statistics) Student’s t-Distribution and Related Stochastic Processes-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Telegraph Processes and Option Pricing-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) The Significance Test Controversy Revisited_ The Fiducial Bayesian Alternative-Springer (2014).pdf
    • (SpringerBriefs in Statistics) Theoretical Aspects of Spatial-Temporal Modeling-Springer Japan (2015).pdf
    • (SpringerBriefs in Statistics) Time Series Modeling for Analysis and Control_ Advanced Autopilot and Monitoring Systems-Springer Tokyo (2015).pdf
    • (SpringerBriefs in Statistics) Two-Way Analysis of Variance_ Statistical Tests and Graphics Using R -Springer-Verlag New York (2012).pdf
    • (SpringerBriefs in Statistics) Unobserved Variables_ Models and Misunderstandings-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) A Concise Guide to Statistics-Springer-Verlag Berlin Heidelberg (2012).pdf
    • (SpringerBriefs in Statistics) A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem_ with Simulations and Examples in SAS(R)-Springer-Verlag New York (2013).pdf
    • (SpringerBriefs in Statistics) A Tiny Handbook of R-Springer-Verlag Berlin Heidelberg (2011).pdf
    • (SpringerBriefs in Statistics) Adaptive Sampling Designs_ Inference for Sparse and Clustered Populations-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Algebraic and Computational Aspects of Real Tensor Ranks-Springer Japan (2016).pdf
    • (SpringerBriefs in Statistics) Indexation and Causation of Financial Markets Nonstationary time series analysis method-Springer (2016).pdf
  • 85.77 MB
  • 2017-9-13

  • 实分析的根本方法 A Radical Approach to Real Analysis by Daivid M. Bressoud..rar
       A Radical Approach to Real Analysis

    本附件包括：
    • 实分析的根本方法 A Radical Approach to Real Analysis by Daivid M. Bressoud..djvu
  • 2.9 MB
  • 2015-7-29

  • Data Science with R Naive Bayes Clasification.rar

    本附件包括：
    • Data Science with R Naive Bayes Clasification.pdf
  • 188.79 KB
  • 2015-6-13

  • Optimal Versus Naive Diversification_How Inefficient is the 1_N Portfolio Strategy.zip

    本附件包括：
    • Optimal Versus Naive Diversification_How Inefficient is the 1_N Portfolio Strategy.pdf
  • 243.84 KB
  • 2015-5-1

  • Homing of naive, memory and effector lymphocytes.rar

    本附件包括：
    • Homing of naive, memory and effector lymphocytes.pdf
  • 613.47 KB
  • 2014-8-13

  • 天使投资资源.zip

    本附件包括：
    • AIV_CaseInfo.xls
    • AIV_CaseInfo[DES][xls].txt
    • AIV_Innovation.xls
    • AIV_Innovation[DES][xls].txt
    • AIV_InvestorInfo.xls
    • AIV_InvestorInfo[DES][xls].txt
    • AIV_InvInstitutionInfo.xls
    • AIV_InvInstitutionInfo[DES][xls].txt
    • AIV_StrategyInfo.xls
    • AIV_StrategyInfo[DES][xls].txt
  • 5.62 MB
  • 2014-4-12

  • 科技型中小企业资产负债表.zip
       科技型中小企业资产负债表

    本附件包括：
    • AIV_SMEsBas.xls
    • AIV_SMEsBas[DES][xls].txt
  • 3.31 MB
  • 2013-8-30

  • 科技型中小企业现金流量表.zip
       科技型中小企业现金流量表

    本附件包括：
    • AIV_SMEsCFS.xls
    • AIV_SMEsCFS[DES][xls].txt
  • 1.62 MB
  • 2013-8-30

  • 科技型中小企业利润表.zip
       科技型中小企业利润表

    本附件包括：
    • AIV_SMEsIS.xls
    • AIV_SMEsIS[DES][xls].txt
  • 2.24 MB
  • 2013-8-30

  • 科技型中小企业基本信息.zip
       科技型中小企业基本信息

    本附件包括：
    • AIV_SMEsBasicInfo.xls
    • AIV_SMEsBasicInfo[DES][xls].txt
  • 4.82 MB
  • 2013-8-30

  • 120211.zip
       Matlab Codes

    本附件包括：
    • NaiveBayesTrain.m
    • NaiveBayesTest.m
    • NaiveBayesDirichletTrain.m
    • NaiveBayesDirichletTest.m
    • setup.m
    • README.txt
    • cap.m
    • LICENSE.txt
    • gpl.txt
    • FactorGraph.m
    • checkFactorGraph.m
    • absorb.m
    • absorption.m
    • absorptionID.m
    • ancestors.m
    • ancestralorder.m
    • ancestralsample.m
    • assign.m
    • bar3zcolor.m
    • bucketelim.m
    • condindep.m
    • condpot.m
    • dag.m
    • deltapot.m
    • descendents.m
    • disptable.m
    • divpots.m
    • edges.m
    • elimtri.m
    • evalpot.m
    • eyepot.m
    • ind2subv.m
    • istree.m
    • jtassignpot.m
    • jtree.m
    • jtreeID.m
    • lengthcell.m
    • markov.m
    • maxpot.m
    • maxprodFG.m
    • maxsumpot.m
    • mostprobablepath.m
    • multpots.m
    • numstates.m
    • orderpotfields.m
    • orderpot.m
    • potscontainingonly.m
    • potvariables.m
    • randgen.m
    • replace.m
    • setdiff_unsorted.m
    • setevpot.m
    • setpot.m
    • spantree.m
    • subv2ind.m
    • triangulateComponent.m
    • sumpot.m
    • sumpots.m
    • sumprodFG.m
    • triangulate.m
    • triangulatePorder.m
    • uniquepots.m
    • validgridposition.m
    • whichpot.m
    • maxarray.m
    • connectedComponents.m
    • changevar.m
    • FactorConnectingVariable.m
    • VariableConnectingFactor.m
    • drawFG.m
    • maxNarray.m
    • maxNpot.m
    • maxNprodFG.m
    • mvrandn.m
    • dirrnd.m
    • mygamrnd.m
    • blanknames.m
    • blankstates.m
    • MesstoFact.m
    • squeezepots.m
    • MDPsolve.m
    • table.m
    • normp.m
    • argmax.m
    • potsample.m
    • logpot.m
    • condindepEmp.m
    • condMI.m
    • count.m
    • chi2test.m
    • neigh.m
    • field2cell.m
    • mynchoosek.m
    • mynanmean.m
    • MDPemDeterministicPolicy.m
    • EMqTranMarginal.m
    • EMqUtilMarginal.m
    • EMminimizeKL.m
    • EMvalueTable.m
    • EMTotalBetaMessage.m
    • sumpotID.m
    • IDvars.m
    • noselfpath.m
    • parents.m
    • children.m
    • drawJTree.m
    • drawNet.m
    • drawID.m
    • exppot.m
    • LoopyBP.m
    • MaxFlow.m
    • myones.m
    • setstate.m
    • condindepPot.m
    • myzeros.m
    • myrand.m
    • mostprobablepathmult.m
    • mynansum.m
    • isoctave.m
    • potistyped.m
    • logsigma.m
    • setfields.m
    • PCskeletonOracle.m
    • PCorient.m
    • PCskeletonData.m
    • BDscore.m
    • learnBayesNet.m
    • normpot.m
    • KLdiv.m
    • condMIemp.m
    • MIemp.m
    • squeezestates.m
    • JTsample.m
    • singleparenttree.m
    • neighboursize.m
    • argmin.m
    • IPF.m
    • nonzerovalue.m
    • empdist.m
    • learnMarkovDecomp.m
    • EntropyEmp.m
    • GibbsSample.m
    • mylogsig.m
    • grouppot.m
    • ungrouppot.m
    • groupstate.m
    • makeThinJT.m
    • gatherstrings.m
    • getdimind.m
    • EMbeliefnet.m
    • majority.m
    • nearNeigh.m
    • svdm.m
    • BayesLogRegressionRVM.m
    • CanonVar.m
    • GPreg.m
    • LogReg.m
    • avsigmaGauss.m
    • covfnGE.m
    • logdet.m
    • plsa.m
    • plsaCond.m
    • sigmoid.m
    • sigma.m
    • softloss.m
    • rbf.m
    • kernel.m
    • sqdist.m
    • BayesLinReg.m
    • HMMem.m
    • condp.m
    • condexp.m
    • HMMviterbi.m
    • HMMsmooth.m
    • HMMforward.m
    • HMMbackward.m
    • logsumexp.m
    • HMMgamma.m
    • mixMarkov.m
    • pointsCov.m
    • GMMem.m
    • Kmeans.m
    • MIXprodBern.m
    • LDSsmooth.m
    • LDSsubspace.m
    • LDSforwardUpdate.m
    • LDSbackwardUpdate.m
    • LDSforward.m
    • LDSbackward.m
    • SLDSforward.m
    • SLDSbackward.m
    • logeps.m
    • mix2mix.m
    • placeobject.m
    • sumlog.m
    • metropolis.m
    • logp.m
    • compat.m
    • betaXbiggerY.m
    • HebbML.m
    • logZdirichlet.m
    • SARlearn.m
    • ARtrain.m
    • HMMforwardSAR.m
    • HMMbackwardSAR.m
    • HMMsmoothSAR.m
    • ARlds.m
    • pca.m
    • hinton.m
    • FA.m
    • plotCov.m
    • GaussCond.m
    • SVMtrain.m
    • cca.m
    • SLDSmargGauss.m
    • binaryMRFmap.m
    • GPclass.m
    • cliquedecomp.m
    • rasch.m
    • conjgrad.m
    • Contents.m
  • 4.63 MB
  • 2012-3-20

  • NAIVE SET THEORY.rar

    本附件包括：
    • NAIVE SET THEORY.djvu
  • 1.55 MB
  • 2011-2-28

  • SQL Serve 2005数据挖掘.rar

    本附件包括：
    • Naive Bayes.ppt
    • Logistic Regression.ppt
    • Neural Network.ppt
    • Association.ppt
    • Decision Tree.ppt
  • 21.95 MB
  • 2010-11-2

  • 324255.txt
       [原创]Naive Bayes方法的SAS代码实现

  • 2.9 KB
  • 2009-5-11

  • 324254.txt
       [原创]Naive Bayes方法的SAS代码实现

  • 2.9 KB
  • 2009-5-11

  • 244357.pdf
       [下载] Quantitaive Methods in Derivatives Pricing

  • 4.26 MB
  • 2008-9-6

  • 195255.pdf
       [原创]naive set theory

  • 23.08 MB
  • 2008-3-2

  • 23787.rar
       Naive Diversification Strategies in Defined Contribution Saving Plans

    本附件包括：
    • BENARTZI, SHLOMO & THALER, RICHARD - NAIVE DIVERSIFICATION STRATEGIES IN DEFINED CONTRIBUTION SAVING.PDF
  • 115.67 KB
  • 2005-8-22

  • 11435.rar
       再来一个很好的计量讲义——尤其大部分涉及了面板数据

    本附件包括：
    • pcnaive_2PerPage.pdf
    • timeseries.pdf
    • timeseriesintro_2PerPage.pdf
    • unitroottests_2PerPage.pdf
    • univariatetimeseries_2PerPage.pdf
    • var_2PerPage.pdf
    • adl_2PerPage.pdf
    • arch_2PerPage.pdf
    • gmm_2PerPage.pdf
    • introductiontoeconometrics2.pdf
    • matrixdiff.pdf
    • maximumlikelihood_2PerPage.pdf
    • panel2.pdf
    • panel4.pdf
  • 1.82 MB
  • 2005-4-5
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