[CourseClub.Me] Coursera – Probabilistic Graphical Models Specialization

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[CourseClub.Me] Coursera – Probabilistic Graphical Models Specialization

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收录时间：2022-01-14
最近下载：2025-06-24

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文件列表

  • Probabilistic Graphical Models 3 Learning/08_pgm-wrapup/01_summary/01_pgm-course-summary.mp4 49.3 MB
  • Probabilistic Graphical Models 3 Learning/04_learning-undirected-models/01_parameter-estimation-in-mns/01_maximum-likelihood-for-log-linear-models.mp4 49.1 MB
  • Probabilistic Graphical Models 2 Inference/05_sampling-methods/01_sampling-methods/05_metropolis-hastings-algorithm.mp4 40.1 MB
  • Probabilistic Graphical Models 3 Learning/06_learning-bns-with-incomplete-data/01_learning-with-incomplete-data/05_latent-variables.mp4 39.9 MB
  • Probabilistic Graphical Models 1 Representation/06_decision-making/01_decision-theory/01_maximum-expected-utility.mp4 39.6 MB
  • Probabilistic Graphical Models 3 Learning/07_learning-summary-and-final/01_learning-wrapup/01_summary-learning.mp4 37.9 MB
  • Probabilistic Graphical Models 3 Learning/05_learning-bn-structure/02_searching-over-structures/02_learning-general-graphs-heuristic-search.mp4 36.6 MB
  • Probabilistic Graphical Models 1 Representation/03_template-models-for-bayesian-networks/01_template-models/02_temporal-models-dbns.mp4 35.9 MB
  • Probabilistic Graphical Models 1 Representation/05_markov-networks-undirected-models/03_local-structure-in-markov-networks/01_log-linear-models.mp4 35.6 MB
  • Probabilistic Graphical Models 2 Inference/05_sampling-methods/01_sampling-methods/01_simple-sampling.mp4 35.2 MB
  • Probabilistic Graphical Models 3 Learning/06_learning-bns-with-incomplete-data/01_learning-with-incomplete-data/01_learning-with-incomplete-data-overview.mp4 34.6 MB
  • Probabilistic Graphical Models 1 Representation/05_markov-networks-undirected-models/01_markov-network-fundamentals/03_conditional-random-fields.mp4 34.6 MB
  • Probabilistic Graphical Models 1 Representation/01_introduction-and-overview/01_introduction-and-overview/02_overview-and-motivation.mp4 34.3 MB
  • Probabilistic Graphical Models 2 Inference/03_belief-propagation-algorithms/01_message-passing-in-cluster-graphs/01_belief-propagation-algorithm.mp4 33.9 MB
  • Probabilistic Graphical Models 2 Inference/06_inference-in-temporal-models/01_inference-in-temporal-models/01_inference-in-temporal-models.mp4 33.6 MB
  • Probabilistic Graphical Models 2 Inference/03_belief-propagation-algorithms/03_optional-loopy-belief-propagation/02_loopy-bp-and-message-decoding.mp4 33.1 MB
  • Probabilistic Graphical Models 1 Representation/07_knowledge-engineering-summary/01_knowledge-engineering-conclusion/01_knowledge-engineering.mp4 31.5 MB
  • Probabilistic Graphical Models 1 Representation/03_template-models-for-bayesian-networks/01_template-models/04_plate-models.mp4 30.6 MB
  • Probabilistic Graphical Models 3 Learning/05_learning-bn-structure/01_structure-learning-overview-and-scoring-functions/04_bayesian-scores.mp4 30.1 MB
  • Probabilistic Graphical Models 2 Inference/04_map-algorithms/01_map-message-passing/01_max-sum-message-passing.mp4 29.5 MB
  • Probabilistic Graphical Models 1 Representation/02_bayesian-network-directed-models/02_bayesian-networks-independencies/02_independencies-in-bayesian-networks.mp4 29.5 MB
  • Probabilistic Graphical Models 2 Inference/05_sampling-methods/01_sampling-methods/04_gibbs-sampling.mp4 29.3 MB
  • Probabilistic Graphical Models 2 Inference/03_belief-propagation-algorithms/02_clique-trees/01_clique-tree-algorithm-correctness.mp4 27.8 MB
  • Probabilistic Graphical Models 3 Learning/03_parameter-estimation-in-bayesian-networks/02_bayesian-parameter-estimation-for-bns/01_bayesian-estimation.mp4 27.0 MB
  • Probabilistic Graphical Models 1 Representation/02_bayesian-network-directed-models/01_bayesian-network-fundamentals/01_semantics-factorization.mp4 26.9 MB
  • Probabilistic Graphical Models 1 Representation/06_decision-making/01_decision-theory/03_value-of-perfect-information.mp4 26.5 MB
  • Probabilistic Graphical Models 2 Inference/02_variable-elimination/01_variable-elimination/01_variable-elimination-algorithm.mp4 26.4 MB
  • Probabilistic Graphical Models 2 Inference/04_map-algorithms/02_optional-other-map-algorithms/02_dual-decomposition-intuition.mp4 26.3 MB
  • Probabilistic Graphical Models 1 Representation/05_markov-networks-undirected-models/01_markov-network-fundamentals/02_general-gibbs-distribution.mp4 25.9 MB
  • Probabilistic Graphical Models 1 Representation/06_decision-making/01_decision-theory/02_utility-functions.mp4 25.8 MB
  • Probabilistic Graphical Models 2 Inference/02_variable-elimination/01_variable-elimination/03_graph-based-perspective-on-variable-elimination.mp4 25.7 MB
  • Probabilistic Graphical Models 2 Inference/03_belief-propagation-algorithms/02_clique-trees/02_clique-tree-algorithm-computation.mp4 25.5 MB
  • Probabilistic Graphical Models 3 Learning/05_learning-bn-structure/01_structure-learning-overview-and-scoring-functions/02_likelihood-scores.mp4 25.3 MB
  • Probabilistic Graphical Models 2 Inference/03_belief-propagation-algorithms/02_clique-trees/04_clique-trees-and-ve.mp4 24.8 MB
  • Probabilistic Graphical Models 2 Inference/03_belief-propagation-algorithms/01_message-passing-in-cluster-graphs/02_properties-of-cluster-graphs.mp4 24.7 MB
  • Probabilistic Graphical Models 2 Inference/03_belief-propagation-algorithms/02_clique-trees/03_clique-trees-and-independence.mp4 24.6 MB
  • Probabilistic Graphical Models 2 Inference/03_belief-propagation-algorithms/03_optional-loopy-belief-propagation/01_bp-in-practice.mp4 24.5 MB
  • Probabilistic Graphical Models 3 Learning/06_learning-bns-with-incomplete-data/01_learning-with-incomplete-data/02_expectation-maximization-intro.mp4 24.1 MB
  • Probabilistic Graphical Models 1 Representation/04_structured-cpds-for-bayesian-networks/01_structured-cpds/03_independence-of-causal-influence.mp4 23.9 MB
  • Probabilistic Graphical Models 3 Learning/05_learning-bn-structure/02_searching-over-structures/03_learning-general-graphs-search-and-decomposability.mp4 23.9 MB
  • Probabilistic Graphical Models 2 Inference/05_sampling-methods/01_sampling-methods/03_using-a-markov-chain.mp4 23.8 MB
  • Probabilistic Graphical Models 3 Learning/01_learning-overview/01_learning-overview/01_learning-overview.mp4 23.7 MB
  • Probabilistic Graphical Models 2 Inference/04_map-algorithms/02_optional-other-map-algorithms/01_tractable-map-problems.mp4 23.6 MB
  • Probabilistic Graphical Models 2 Inference/04_map-algorithms/02_optional-other-map-algorithms/03_dual-decomposition-algorithm.mp4 23.5 MB
  • Probabilistic Graphical Models 3 Learning/03_parameter-estimation-in-bayesian-networks/02_bayesian-parameter-estimation-for-bns/02_bayesian-prediction.mp4 22.9 MB
  • Probabilistic Graphical Models 1 Representation/02_bayesian-network-directed-models/02_bayesian-networks-independencies/01_conditional-independence.mp4 22.3 MB
  • Probabilistic Graphical Models 2 Inference/05_sampling-methods/01_sampling-methods/02_markov-chain-monte-carlo.mp4 22.2 MB
  • Probabilistic Graphical Models 2 Inference/02_variable-elimination/01_variable-elimination/04_finding-elimination-orderings.mp4 22.2 MB
  • Probabilistic Graphical Models 1 Representation/04_structured-cpds-for-bayesian-networks/01_structured-cpds/02_tree-structured-cpds.mp4 22.0 MB
  • Probabilistic Graphical Models 2 Inference/01_inference-overview/01_inference-overview/01_overview-conditional-probability-queries.mp4 21.7 MB
  • Probabilistic Graphical Models 1 Representation/04_structured-cpds-for-bayesian-networks/01_structured-cpds/04_continuous-variables.mp4 21.5 MB
  • Probabilistic Graphical Models 1 Representation/02_bayesian-network-directed-models/01_bayesian-network-fundamentals/03_flow-of-probabilistic-influence.mp4 21.4 MB
  • Probabilistic Graphical Models 3 Learning/05_learning-bn-structure/02_searching-over-structures/01_learning-tree-structured-networks.mp4 20.7 MB
  • Probabilistic Graphical Models 3 Learning/04_learning-undirected-models/01_parameter-estimation-in-mns/02_maximum-likelihood-for-conditional-random-fields.mp4 20.6 MB
  • Probabilistic Graphical Models 2 Inference/02_variable-elimination/01_variable-elimination/02_complexity-of-variable-elimination.mp4 20.6 MB
  • Probabilistic Graphical Models 1 Representation/02_bayesian-network-directed-models/03_bayesian-networks-knowledge-engineering/01_application-medical-diagnosis.mp4 20.4 MB
  • Probabilistic Graphical Models 2 Inference/07_inference-summary/01_summary/01_inference-summary.mp4 19.1 MB
  • Probabilistic Graphical Models 1 Representation/03_template-models-for-bayesian-networks/01_template-models/01_overview-of-template-models.mp4 18.9 MB
  • Probabilistic Graphical Models 1 Representation/03_template-models-for-bayesian-networks/01_template-models/03_temporal-models-hmms.mp4 18.5 MB
  • Probabilistic Graphical Models 1 Representation/05_markov-networks-undirected-models/01_markov-network-fundamentals/01_pairwise-markov-networks.mp4 17.4 MB
  • Probabilistic Graphical Models 3 Learning/06_learning-bns-with-incomplete-data/01_learning-with-incomplete-data/03_analysis-of-em-algorithm.mp4 17.3 MB
  • Probabilistic Graphical Models 3 Learning/06_learning-bns-with-incomplete-data/01_learning-with-incomplete-data/04_em-in-practice.mp4 17.0 MB
  • Probabilistic Graphical Models 3 Learning/05_learning-bn-structure/01_structure-learning-overview-and-scoring-functions/03_bic-and-asymptotic-consistency.mp4 16.8 MB
  • Probabilistic Graphical Models 1 Representation/02_bayesian-network-directed-models/02_bayesian-networks-independencies/03_naive-bayes.mp4 15.7 MB
  • Probabilistic Graphical Models 3 Learning/04_learning-undirected-models/01_parameter-estimation-in-mns/03_map-estimation-for-mrfs-and-crfs.mp4 15.3 MB
  • Probabilistic Graphical Models 2 Inference/01_inference-overview/01_inference-overview/02_overview-map-inference.mp4 14.4 MB
  • Probabilistic Graphical Models 1 Representation/02_bayesian-network-directed-models/01_bayesian-network-fundamentals/02_reasoning-patterns.mp4 14.1 MB
  • Probabilistic Graphical Models 2 Inference/03_belief-propagation-algorithms/01_message-passing-in-cluster-graphs/03_properties-of-belief-propagation.mp4 13.8 MB
  • Probabilistic Graphical Models 1 Representation/04_structured-cpds-for-bayesian-networks/01_structured-cpds/01_overview-structured-cpds.mp4 13.3 MB
  • Probabilistic Graphical Models 1 Representation/01_introduction-and-overview/01_introduction-and-overview/04_factors.mp4 10.3 MB
  • Probabilistic Graphical Models 3 Learning/05_learning-bn-structure/01_structure-learning-overview-and-scoring-functions/01_structure-learning-overview.mp4 9.2 MB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__Section-3-MAP.pdf 8.5 MB
  • Probabilistic Graphical Models 1 Representation/01_introduction-and-overview/01_introduction-and-overview/03_distributions.mp4 8.3 MB
  • Probabilistic Graphical Models 1 Representation/01_introduction-and-overview/01_introduction-and-overview/01_welcome.mp4 8.2 MB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__Section-2-Representation-Markov-Nets.pdf 8.1 MB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__Section-5-Learning-BN-Structures.pdf 7.7 MB
  • Probabilistic Graphical Models 2 Inference/04_map-algorithms/01_map-message-passing/02_finding-a-map-assignment.mp4 6.5 MB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__Section-3-Sampling.pdf 5.4 MB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__1.1.1-Intro-overview.pdf 5.4 MB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__Section-2-Representation-Bayes-Nets.pdf 4.9 MB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__Section-3-Variable-Elimination.pdf 4.6 MB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__Section-2-Representation-Template-Models.pdf 4.3 MB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__Section-5-Learning-Parameters-Part-2.pdf 4.1 MB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__Section-5-Learning-Incomplete-Data.pdf 4.0 MB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__Section-4-Decision-Making.pdf 3.6 MB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__Section-2-Representation-CPDs.pdf 3.2 MB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.3.1-Learn-MNparam.pdf 3.0 MB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.4.6-Learning-structure-BN-greedy-search.pdf 2.9 MB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__2.4.6-Repn-MNs-loglinear.pdf 2.6 MB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.4.3-Inf-MAP-tractable.pdf 2.2 MB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__2.2.3-Repn-Template-temporal-HMMs.pdf 1.9 MB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__4.1.1-Dec-ID-MEU.pdf 1.7 MB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.5.4-Inf-Particle-Gibbs.pdf 1.6 MB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.4.4-Inf-MAP-DD-Intuition.pdf 1.5 MB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__2.4.1-Repn-MNs-pairwise.pdf 1.5 MB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__2.3.3-Repn-CPDs-ICI.pdf 1.4 MB
  • Probabilistic Graphical Models 1 Representation/06_decision-making/01_decision-theory/02_utility-functions_Utility_Functions_Chapter_22.2.1-3_22.3.2_22.4.2 1.2 MB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__4.1.2-Act-Dec-Utility.pdf 1.2 MB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.6.1-Inf-Temporal.pdf 1.2 MB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.5.1-Learn-missing-overview.pdf 1.2 MB
  • Probabilistic Graphical Models 2 Inference/03_belief-propagation-algorithms/04_exact-inference/01_exact-inference_PA-Exact-Inference-Release.zip 1.2 MB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.3.2-Learn-CRFparam.pdf 1.1 MB
  • Probabilistic Graphical Models 1 Representation/06_decision-making/01_decision-theory/03_value-of-perfect-information_Value_of_Perfect_Information_Chapter_23.7.1-2 1.1 MB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__4.1.3-Act-Dec-VPI.pdf 1.1 MB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.5.2-Inf-Particle-MCMC-1.pdf 1.1 MB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.2.1-Inf-VE-Alg.pdf 1.1 MB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.2.4-Inf-VE-elimorder.pdf 1.1 MB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__2.1.7-Repn-BNs-diagnosis.pdf 1.0 MB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.5.5-Learn-missing-latent.pdf 1.0 MB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.4.2-Learning-structure-BN-likelihood-score.pdf 1.0 MB
  • Probabilistic Graphical Models 2 Inference/03_belief-propagation-algorithms/03_optional-loopy-belief-propagation/01_bp-in-practice_BP_in_Practice._Box_11.c 1.0 MB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.3.8-Inf-BP-practice.pdf 1.0 MB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__2.4.3-Repn-MNs-CRFs.pdf 972.4 kB
  • Probabilistic Graphical Models 2 Inference/04_map-algorithms/01_map-message-passing/01_max-sum-message-passing_MAP_Exact_Inference._Chapter_13.2.1 934.0 kB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.4.1-Inf-MAP-Exact-Inference.pdf 934.0 kB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.4.4-Learning-structure-BN-Bayesian-score.pdf 924.1 kB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.3.3-Learn-MNparam-MAP-regularization.pdf 919.4 kB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.2.2-Learn-BNparam-MLE.pdf 917.3 kB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.5.3-Learn-missing-EM-analysis.pdf 909.4 kB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.3.3-Inf-BP-properties.pdf 901.8 kB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__2.2.2-Repn-Template-temporal-DBNs.pdf 861.3 kB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.1.1-Inf-Overview-Prob.pdf 813.4 kB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.3.4-Inf-BP-Ctree.pdf 808.1 kB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.5.2-Learn-missing-EM-intro.pdf 804.5 kB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.2.3-Learn-BNparam-BayesianEstimation.pdf 795.9 kB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.3.1-Inf-BP-Alg.pdf 785.9 kB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__2.4.7-Repn-Shared-Features-loglinear.pdf 776.5 kB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.2.1-Learn-param-MLE.pdf 756.8 kB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.2.5-Learn-BNparam-BayesianBN.pdf 749.9 kB
  • Probabilistic Graphical Models 2 Inference/05_sampling-methods/01_sampling-methods/05_metropolis-hastings-algorithm_Metropolis_Hastings_Algorithm._Chapter_12.3.4.2 749.7 kB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.5.5-Inf-Particle-MH.pdf 749.7 kB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__2.4.2-Repn-MNs-Gibbs.pdf 709.8 kB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.2.3-Inf-VE-graph.pdf 690.7 kB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__2.1.5-Repn-Ind-BNs.pdf 685.4 kB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.3.9-Inf-BP-coding.pdf 682.6 kB
  • Probabilistic Graphical Models 2 Inference/05_sampling-methods/01_sampling-methods/03_using-a-markov-chain_Using_a_Markov_Chain._Chapter_12.3.5 645.1 kB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.5.3-Inf-Particle-MCMC-2.pdf 645.1 kB
  • Probabilistic Graphical Models 2 Inference/05_sampling-methods/01_sampling-methods/01_simple-sampling_Simple_Sampling._Chapter_12.1 629.6 kB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.5.1-Inf-Particle-intro.pdf 629.6 kB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.4.5-Learning-structure-BN-search-tree.pdf 625.6 kB
  • Probabilistic Graphical Models 2 Inference/01_inference-overview/01_inference-overview/02_overview-map-inference_MAP_Queries._Chapter_13.2.1 623.6 kB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.1.2-Inf-Overview-MAP.pdf 623.6 kB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.2.2-Inf-VE-complexity.pdf 623.5 kB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.3.5-Inf-BP-Ctree-computation.pdf 616.0 kB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.2.4-Learn-BNparam-BayesianPrediction.pdf 613.2 kB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__2.3.4-Repn-CPDs-continuous.pdf 610.7 kB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.5.4-Learn-missing-EM-practice.pdf 602.2 kB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__2.3.2-Repn-CPDs-tree.pdf 580.1 kB
  • Probabilistic Graphical Models 1 Representation/02_bayesian-network-directed-models/02_bayesian-networks-independencies/03_naive-bayes_Naive_Bayes._Chapter_3.1.3 565.3 kB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__2.1.6-Repn-BNs-NaiveBayes.pdf 565.3 kB
  • Probabilistic Graphical Models 2 Inference/05_sampling-methods/02_sampling-methods/01_sampling-methods_PA-Sampling-Methods-Release.zip 558.5 kB
  • Probabilistic Graphical Models 2 Inference/08_Resources/01_textbook/01__3.4.5-Inf-MAP-DD-Algorithm.pdf 516.1 kB
  • Probabilistic Graphical Models 1 Representation/03_template-models-for-bayesian-networks/01_template-models/04_plate-models_Plate_Models._Chapter_6.4.1 516.0 kB
  • Probabilistic Graphical Models 1 Representation/08_Resources/01_textbook/01__2.2.4-Repn-Template-plates.pdf 516.0 kB
  • Probabilistic Graphical Models 3 Learning/01_learning-overview/01_learning-overview/01_learning-overview_Overview._Chapter_16.1_and_intro_to_chapt 496.3 kB
  • Probabilistic Graphical Models 3 Learning/09_Resources/01_textbook/01__5.1.1-Learn-overview.pdf 496.3 kB
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