100+ W2 wn PowerPoint (PPT) Presentations, W2 wn PPTs

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Review: Bayesian learning and inference

Review: Bayesian learning and inference. Suppose the agent has to make decisions about the value of an unobserved query variable X based on the values of an observed evidence variable E Inference problem: given some evidence E = e , what is P(X | e) ?

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543 views • 32 slides

Review: Bayesian learning and inference

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476 views • 32 slides

Bayesian networks

Bayesian networks. More commonly called graphical models A way to depict conditional independence relationships between random variables A compact specification of full joint distributions. Structure. Nodes: random variables Can be assigned (observed) or unassigned (unobserved)

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474 views • 28 slides

CS344: Introduction to Artificial Intelligence (associated lab: CS386)

CS344: Introduction to Artificial Intelligence (associated lab: CS386). Pushpak Bhattacharyya CSE Dept., IIT Bombay Lecture 29: Perceptron training and convergence 22 nd March, 2011. The Perceptron Model

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329 views • 24 slides

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W2 wn - PowerPoint PPT Presentation

Review: Bayesian learning and inference

Review: Bayesian learning and inference

Bayesian networks

CS344: Introduction to Artificial Intelligence (associated lab: CS386)