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linear-gaussian-networks

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anmold-07 / Probabilistic-Graphical-Models-from-Scratch

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Implementation of various inference and learning algorithms for Probabilistic Graphical Models (PGMs) without off-the-shelf libraries. Also includes projects from the PGM specialization on Coursera offered by Stanford.

learning modeling machine-learning-algorithms inference python3 bayesian-network data-structures bayesian-inference probabilistic-graphical-models pgms markov-models linear-gaussian-networks
  • Updated May 10, 2024
  • MATLAB
bayesian-inference-linear-gaussian-model

jvirico / bayesian-inference-linear-gaussian-model

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Classification task of body positions of skeletal body movements recorded from a Kinect device (Kinect Gesture Dataset). A Bayesian approach is employed using a Linear Gaussian Model and Maximum Likelihood Estimation, assuming dependencies between skeleton joints.

kinect naive-bayes-classifier classification bayesian-inference gaussian-models pose-estimation mle-estimation linear-gaussian-networks
  • Updated Aug 7, 2021
  • Jupyter Notebook

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