CHAPTER8 The Wishart Distribution The Wishart distribution arises in a natural way as a matrix generalization of the chi-square distribution. If X,,. .., X,, are independent with C(4) = N(0, l), then C;T* has a chi-square distribution with n degrees of freedom. When the are random vectors rather than real-valued random variables say Xi E […]
Lecture 1: Introduction Coordination 1 Motivating example: Global logistics chains In global logistics, delivery of materials is delegated to transport companies to handle each journey stage This needs coordination: each stage must take the material from the previous stage Automated agents can act for companies, communicating and coordinating Slide ‹#› out of 88 Today Communication
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THE AUSTRALIAN NATIONAL UNIVERSITY Second Semester 2019 COMP1600/COMP6260 (Foundations of Computation) Writing Period: 3 hours duration Study Period: 15 minutes duration Permitted Materials: One A4 page with hand-written notes on both sides Answer ALL questions Total marks: 100 The questions are followed by labelled blank spaces into which your answers are to be written. Additional
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1. Introduction and JUnit Module 1 Part 1 of 2 Introduction and Agents 1 1 Class Learning Objectives Understand objectives of AI Apply agents 2 The word “AI” has become ubiquitous. But what, exactly, does it mean? This part answers that question. A good portion of AI approaches problems from the perspective of agents—autonomous objects
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F71SM STATISTICAL METHODS 2 PROBABILITY 2.1 Introduction A random experiment is an experiment which is repeatable under identical conditions, and for which, at each repetition, the outcome is uncertain but is one of a known and describable set of possible outcomes. The sample space S is the set of possible outcomes. An event A is
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MAST 90138: MULTIVARIATE STATISTICAL TECHNIQUES See Ha ̈rdle and Simar, chapter 16. 7 7.1 CANONICAL CORRELATION ANALYSIS (CCA) MOST INTERESTING LINEAR COMBINATIONS A tool developed by Hotelling for discovering and quantifying as- sociation between two sets of variables Setup: two random vectors X ∈ Rq and Y ∈ Rp, X∼(μ,ΣXX), Y∼(ν,ΣYY). Also,
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7CCSMAMS: Agents & Multi-Agent Systems Agent architectures Some slides adapted from slides made available by M. Wooldridge, S. Parsons & T. Payne http://www.cs.ox.ac.uk/people/michael.wooldridge/pubs/imas/IMAS2e 1 Response to preliminary module feedback Reasoning agents Specifying rules for agent behaviour Alternative architectures for agents Today Slide ‹#› out of 95 Some slides adapted from slides made available by M.
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COMP90038 Algorithms and Complexity Balanced Trees Olya Ohrimenko (Slides from Harald Søndergaard) Lecture 15 Semester 2, 2021 …………… . …. …………….. … Algorithms and Complexity (Sem 2, 2021) Balanced Trees © University of Melbourne 1 / 1 Weekly update Assignment 2 out during week 9 Olya’s consultation this week: see LMS for details Non-teaching period
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Markov Decision Processes [AIMA 4G] Chapter 15.1-15.3, 16.1-16.2 Artificial Intelligence COSC1127/1125 Semester 2, 2021 Prof. * Many slides are based on those of and , and . Thanks! Today… Some news… Project 2 marking is done! 1st contest feedback this week! Submit as per instruction. Check #170 Course THE happening next week Monday 9am –
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