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SEG 4560 Final Review. Final. 4:15-6:15pm, Friday April 24, 2009 6 Questions from Chapters 3-15a Two A4 size cheat sheets A calculator Useful materials: Tutorials 1-3, Assignments 1-3, Midterm, and Lecture notes. Chapter 15a. Markov processes Sensor model Transition model
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Final • 4:15-6:15pm, Friday April 24, 2009 • 6 Questions from Chapters 3-15a • Two A4 size cheat sheets • A calculator • Useful materials: Tutorials 1-3, Assignments 1-3, Midterm, and Lecture notes
Chapter 15a • Markov processes • Sensor model • Transition model • Inference tasks • Filtering • Prediction • Smoothing • Most likely explanation
Chapter 14 • Bayesian networks • Network topology and CPTs • Express a full joint distribution with BN • Inference tasks • Exact inference by enumeration • Exact inference by variable elimination • Approximate inference
Chapter 13 • Bayes’ Rule • Transform to a full joint distribution (or probability with some hidden variables) • Sum over all hidden variables • Independence and conditional independence
Chapters 7-9 • Express sentences in • Propositional logic • First-order logic • Unification • Entailment
Chapter 5 • CSPs • Variables • Domains • Constraints • Backtracking search for CSPs • Various heuristics to speedup search
Chapters 3-4 • Uninformed search • Breadth-first search • Uniform-cost search • Depth-first search • Depth-limited search • Iterative deepening search • Informed search • Greedy search and A* search • Local search • Hill-climbing • Properties of these search methods • Efficiency • Space • Completeness • Optimality