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4.1.12-LikelihoodFunctionforLogLinearModels.flv

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4.1.12-LikelihoodFunctionforLogLinearModels.flv
FLV 6 years ago 260.82 MB
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4.1.11-LearningUndirectedModels.flv
FLV 6 years ago 116.55 MB
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4.1.13-MLEforLogLinearModels.flv
FLV 6 years ago 91.52 MB
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4.1.10-ParameterEstimationinaNaiveBayesModel.flv
FLV 6 years ago 94.82 MB
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4.1.10-LearningUndirectedModelswithMissingData.flv
FLV 6 years ago 300.08 MB
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4.1.14-GradientAscentforMNLearning.flv
FLV 6 years ago 135.07 MB
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4.1.15-LearningCRFs.flv
FLV 6 years ago 191.12 MB
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4.1.9-ParameterEstimationintheALARMNetwork.flv
FLV 6 years ago 54.29 MB
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4.1.16-LearningwithSharedParameters.flv
FLV 6 years ago 307.99 MB
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4.1.8-TheDirichletPrior.flv
FLV 6 years ago 94.87 MB
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4.1.17-InferenceDuringMNLearning.flv
FLV 6 years ago 315.36 MB
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4.1.7-BayesianPriorsforBNs.flv
FLV 6 years ago 269.72 MB
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4.2.1-LearningwithMissingData.flv
FLV 6 years ago 373.18 MB
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4.1.6-BayesianModelingwiththeBetaPrior.flv
FLV 6 years ago 452.80 MB
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4.2.2-LikelihoodwithMissingData.flv
FLV 6 years ago 285.28 MB
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4.1.5-ParameterPriors.flv
FLV 6 years ago 248.38 MB
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4.2.3-Expectation-MaximizationAlgorithm.flv
FLV 6 years ago 480.69 MB
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4.1.4-DecomposedLikelihoodFunctionforaBN.flv
FLV 6 years ago 377.27 MB
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4.1.3-ParameterLearninginaBayesianNetwork.flv
FLV 6 years ago 308.33 MB
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4.1.2-LearninginParametricModels.flv
FLV 6 years ago 238.07 MB
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