Model Selection Mariia Okuneva We have talked about linear models in the second tutorial and we were estimating them with least squares. Despite its simplicity, the linear model has an advantage in terms of interpretability and it often shows good predictive performance. So, today we try to improve on linear models by selecting or shrinking […]
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The Google File System Sanjay Ghemawat, Howard Gobioff, and Shun-Tak Leung Google∗ ABSTRACT We have designed and implemented the Google File Sys- tem, a scalable distributed file system for large distributed data-intensive applications. It provides fault tolerance while running on inexpensive commodity hardware, and it delivers high aggregate performance to a large number of clients.
Chapters 6 & 7: Synchronization Tools and Classic Problems Operating System Concepts – 9th Edition Silberschatz, Galvin and Gagne ©2013 Process Synchronization and Examples ■ Background ■ The Critical-Section Problem ■ Peterson’s Solution ■ Synchronization Hardware ■ Mutex Locks ■ Semaphores ■ Classic Problems of Synchronization ■ Monitors ■ Synchronization Examples ■ Alternative Approaches Operating
Chapter 3b: Interprocess Communiation Operating System Concepts – 9th Edition Silberschatz, Galvin and Gagne ©2013 Chapter 3: Processes ■ Interprocess Communication ■ Examples of IPC Systems ■ Communication in Client-Server Systems Operating System Concepts – 9th Edition 3.2 Silberschatz, Galvin and Gagne ©2013 Interprocess Communication ■ Processes within a system may be independent or cooperating
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OpenMP Application Programming Interface Version 5.0 November 2018 Copyright ⃝c 1997-2018 OpenMP Architecture Review Board. Permission to copy without fee all or part of this material is granted, provided the OpenMP Architecture Review Board copyright notice and the title of this document appear. Notice is given that copying is by permission of the OpenMP Architecture
Assignment 4 STAT221 To be submitted on Learn by 3pm on Friday 16 October 2020 Where you are asked to do something in R you should include ALL of the code used to produce the result in your assignment submission so it can be reproduced and checked. But do not include any code which is
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Resampling, part 1 Jennifer Wilcock STAT221 2020 S2 We are going to look at several methods known as resampling methods. These methods include the bootstrap, the jack-knife, cross-validation, and permutation tests. All resampling methods have the same basic idea, of using observed sample(s) of data and repeatedly sampling from the original observed sample(s) to obtain
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Computer Lab Week 9 STAT221 In this computer lab we will use a dataset on the chemical composition of wines. This dataset can be downloaded here # Read Data into R Warning: whole address must be in one line wine.fl = “http://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data” wine = read.csv(wine.fl, header = F) # Names of the variables wine.names =
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Assignment 4 STAT221 To be submitted on Learn by 3pm on Friday 16 October 2020 Where you are asked to do something in R you should include ALL of the code used to produce the result in your assignment submission so it can be reproduced and checked. But do not include any code which is
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Cinematic Color From Your Monitor to the Big Screen A VES Technology Committee White Paper Oct 17, 2012 Description This paper presents an introduction to the color pipelines behind modern feature-film visual-effects and animation. Color impacts many areas of the computer graphics pipeline. From texture painting to lighting, rendering to compositing, and from image display