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Probabilistic Graphical Models for Continuous Variable Representation

Explore the local structure of continuous variables using linear Gaussian models in the context of temperature sensor data, door temperature scenarios, and robot localization with Fox, Burgard, and Thrun's nonlinear Gaussian motion model.

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Probabilistic Graphical Models for Continuous Variable Representation

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Presentation Transcript

  1. Representation Probabilistic Graphical Models Local Structure Continuous Variables

  2. Continuous Variables Temperature Sensor Door Temperature’ Outside Temp if D=0 if D=1

  3. Linear Gaussian . . . X1 X2 Xk Y

  4. Conditional Linear Gaussian . . . A X1 X2 Xk Y

  5. Robot Localization Fox, Burgard, Thrun

  6. Nonlinear Gaussians

  7. Robot Motion Model

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