# Lect17 - Course Logistics Any suggestions on streamlining...

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Course Logistics Any suggestions on streamlining homework / MPs? Next: BN MP (watch for it)

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Inference Realizing what you already know (Inferencing does not make things true) Logical inference propagating truth Given some axioms (believe these) Derive theorems (must believe these) Statistical inference propagating evidence Given some distributions, observations, etc. Estimate other distributions, parameter values, probabilities, etc. Uncertainty is fundamental
Conditional Independence Model the disease influencing the symptoms But no symptom interactions given the disease Conditional independence: P(A|B,C) = P(A|C) “A is conditionally independent of B given C”

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Bayesian Networks (belief networks,…) Graphical model Probability + Graph theory Nodes discrete random variables Directed Arcs direct influence Usually “causality” (class, text,…) Configuration of parents establishes contexts for a node Different distribution for each context Conditional Probability Tables (CPTs) No directed cycles (DAG) General graphical models Markov Networks Conditional random fields Dynamic Bayesian nets others
Dentist Example A C B 3 Boolean Random Variables: C Patient has a cavity

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## This note was uploaded on 10/13/2011 for the course CS 440 taught by Professor Levinson,s during the Fall '08 term at University of Illinois, Urbana Champaign.

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Lect17 - Course Logistics Any suggestions on streamlining...

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