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Solving problems by searching Chapter 3 Image source: Wikipedia
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Announcements Course TA: Danny Kumar (
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Guest lectures next week Assignment 1 out, due Tuesday, September 14 Course
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1. ai ‘Appreciative Inquiry: Change at the Speed of the Imagination’ – Watkins & Mohr, 2001 An Approach to ^ Change appreciative inquiry 2 ACCELERATED
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Www.nedp.org 1 The National External Diploma Program: A Successful Transition Model National External Diploma Program Council Conference October
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T EMPORAL P ROBABILISTIC M ODELS. M OTIVATION Observing a stream of data Monitoring (of people, computer systems, etc) Surveillance, tracking Finance
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EGEE NA3 Status Prof. Malcolm Atkinson Director John Murison Training Manager CERN 14 th January 2004
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EGEE NA3 Planning Prof. Malcolm Atkinson Director John Murison Training Manager CERN 13 th November 2003
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CS B 553: A LGORITHMS FOR O PTIMIZATION AND L EARNING Temporal sequences: Hidden Markov Models and Dynamic Bayesian Networks
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Solving problems by searching Chapter 3. Search We will consider the problem of designing goal- based agents in fully observable, deterministic, discrete,
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