Question 2 [15 marks] A tech company has just invented an AI algorithm for tracking engagement during Zoom sessions. This is hypothetical of course, though it is not too far fetched to have such feature in the near future. In this question, we are interested in student and instructor engagement during CS lectures. Engagement is […]
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Graph Theory Data Structures and Abstractions Graph Theory Lecture 32 * The Origins of Graph Theory Graph Theory (unlike a lot of what we do) dates back to before 1736. In Konisberg there were two islands in the middle of a river, connected by 7 bridges. The question was: “is it possible to cross each
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CS 332: Theory of Computation Prof. Mark Bun Boston University September 22, 2021 Homework 3 – Due Tuesday, September 28, 2021 at 11:59 PM Reminder Collaboration is permitted, but you must write the solutions by yourself without as- sistance, and be ready to explain them orally to the course staff if asked. You must also
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The University of Sydney Page 1 Deep Generation Models Dr Chang Xu School of Computer Science The University of Sydney Page 2 Generative Modeling – Density Estimation – Sample Generation Image credit to [Ian Goodfellow, NIPS Tutorial on Generative Model 2016] Training Sample Generated Sample The University of Sydney Page 3 Why study generative model?
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(http://www.stanford.edu) AA228/CS238 (https://web.stanford.edu/class/ bin/wp/) Decision Making under Uncertainty (https://web.stanford.edu/class/aa228/cgi-bin/w Project 2 Reinforcement Learning Due Date: by 5 pm on Friday, November 5th. Penalty-free grace period until 5 pm on Monday, November 8th. See “Late Policy” for details. (https://web.stanford.edu/class/aa228/cgi-bin/wp/) This project is a competition to find the best policy for three di�erent Markov decision processes given
The University of Sydney Page 1 Recurrent Neural Networks Dr Chang Xu School of Computer Science The University of Sydney Page 2 Example Application Image credit to https://twitter.com/SamsungMobile/status/967807667463958531 The University of Sydney Page 3 Recurrent Neural Network p Input pWord sequence pEach word is represented by vector p Methods pOne hot encoding pWord hash pWord
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MATH 239 course notes S20 MATH 239/249 Introduction to Combinatorics Hello World, and Thanks! The following parts of these notes are still UNDER CONSTRUCTION. (Estimated completion date: Fall 2021.) Most of these are additional topics not covered during the semester. The old notes are also available on the course website. • Proof of Theorem 4.18
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CS246-F20-01-UnixShell 1. Some notes on OSs, UNIX, and the UNIX shell CS246 Fall 2020 Prof. Mike Godfrey University of Waterloo Lecture 1.1 • What’s an operating system? • A brief history of UNIX • The brave GNU world of the FSF CS246 Operating system What’s an operating system (OS)? Kernel User interface CPU Memory Devices
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MATH 239 old course notes Introduction to Combinatorics Course Notes for Math 239 Department of Combinatorics and Optimization University of Waterloo ©July 10, 2018 Part II Introduction to Graph Theory 119 iv CONTENTS 3.7 The Binomial Series . . . . . . . . . . . . . . . . . .
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Supplemental note on formal power series Supplemental note on formal power series When we are manipulating generating series, we are doing so according to the algebra of formal power series. For every day purposes, you don’t need to worry about this algebra – the definitions have been made precisely so that if you just manipulate
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