压缩包 : e0a21268932a5be3a53ea71559acec75.zip 列表
ppt/
ppt/AdaBoost.doc
ppt/12_17_ModelAverage.rar
ppt/12_15-ModelSelection.pdf
ppt/12_10-KernelMethod.rar
ppt/prostate.rar
ppt/Bandwidth%20Selection%20in%20Kernel%20Density%20Estimation%20A%20Review.pdf
ppt/12_03-PdfEstimation.pdf
ppt/imm3897.zip
ppt/12_01_regression2.pdf
ppt/opt_reg_tips.zip
ppt/prostate.data.txt
ppt/prostate.info.txt
ppt/11_26_regression.pdf
ppt/11_24_StatLearningIntro.rar
ppt/answer12.pdf
ppt/11_17-StatisticalDecisionTheory.ppt
ppt/11_17-StatisticalDecisionTheory.pdf
ppt/answer11.pdf
ppt/answer11.rar
ppt/11_12-bayesian%20inference.ppt
ppt/11_12-bayesian%20inference.pdf
ppt/answer10.rar
ppt/p-value.rar
ppt/11_10-Hypothesis.rar
ppt/11_10-Hypothesis.pdf
ppt/EM_GM.m
ppt/11_03-ParametersEstimate3_EM.pdf
ppt/11_03-ParametersEstimate3_EM.ppt
ppt/answer9.rar
ppt/10_29-ParametersEstimate2_MLE.pdf
ppt/10_29-ParametersEstimate2_MLE.ppt
ppt/10_27-ParametersEstimate1.ppt
ppt/bootrsp.m
ppt/10_27-ParametersEstimate1.pdf
ppt/10_27_Bootstrap.pdf
ppt/InfluenceFunction.pdf
ppt/10_20-CDF.pdf
ppt/answer6.pdf
ppt/10_20-StatIntro_CDF.pdf
ppt/10_13_MonteCarlo2_Code.rar
ppt/10_13_MonteCarlo2.pdf
ppt/10_08_MonteCarlo_Code.rar
ppt/10_08_MonteCarlo-blue.pdf
ppt/homework_part1.rar
ppt/09_24_Review1.pdf
ppt/09_24_Convergence.pdf
ppt/09_22_Inequalities.pdf
ppt/09_17_Expection.pdf
ppt/09_10_RandomVariables.pdf
ppt/09_08_Probability.pdf
ppt/09_08_Introduction.pdf
ppt/ChiSquareTest.ppt
ppt/answer8.rar
ppt/10_27_Bootstrap.ppt
ppt/10_20-CDF.ppt
ppt/answer7.rar
ppt/10_20-StatIntro_CDF.ppt
ppt/实验说明_蒲丰投针.pdf
ppt/Ismodel_Denoising.rar
ppt/10_13_MonteCarlo2.rar
ppt/10_08_MonteCarlo.rar
ppt/09_24_Review1.ppt
ppt/09_24_Convergence.ppt
ppt/09_22_Inequalities.ppt
ppt/09_17_Expection.ppt
ppt/09_10_RandomVariables.ppt
ppt/09_08_Probability.ppt
ppt/09_08_Introduction.ppt
ppt/StatlLearning_handout.html