有的学校叫数值计算, Numerical analysis 数值分析或者叫Scientific computation 科学计算. Numerical methods are a set of algorithms and techniques used for solving mathematical problems. They include methods for solving linear and nonlinear equations, numerical integration, numerical linear algebra, and optimization problems.
UNIVERSITY OF EXETER COLLEGE OF ENGINEERING, MATHEMATICS AND PHYSICAL SCIENCES COMPUTER SCIENCE High Performance Computing Continuous Assessment 2 Date Set: 10 March 2022 Date Due: 30 March 2022 Return Date: 4 May 2022 This CA comprises 60% of the overall module assessment. This is an individual exercise and your attention is drawn to the College […]
UNIVERSITY OF EXETER FACULTY OF ENVIRONMENT, SCIENCE AND ECONOMY COMPUTER SCIENCE High Performance Computing Continuous Assessment 1 Date Set: 9 February 2023 Date Due: 27 February 2023 Return Date: 17 March 2023 This CA comprises 40% of the overall module assessment. This is an individual exercise and your attention is drawn to the College and
EECE5644 Introduction to Machine Learning and Pattern Recognition HW3 Question 1 (60%) In this exercise, you will train many multilayer perceptrons (MLPs) to approximate class label posteriors. The MLPs will be trained using maximum likelihood parameter estimation (or equiva- lently, minimum average cross-entropy loss). You will then use the trained models to approximate a maximum
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EECE5644 Assignment 4 Question 1 (60%) Train and test Support Vector Machine (SVM) and Multi-layer Perceptron (MLP) classifiers that aim for minimum probability of classification error, i.e., we are using 0-1 loss; all error in- stances are equally bad. You may use a trusted implementation in your choice of programming language and software packages, e.g.,
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EECE5644 Assignment 0 Question 1 (30%) Design a classifier that achieves minimum probability of error for a three-class problem where the class priors are respectively p(L = 1) = 0.15, p(L = 2) = 0.35, p(L = 3) = 0.5 and the class- conditional data distributions are all Gaussians for two-dimensional data vectors: −1
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EECE5644 Introduction to Machine Learning and Pattern Recognition Assignment 2 Question 1 (50%) The probability density function (pdf) for a 2-dimensional real-valued random vector X is as follows: p(x) = p(L = 0)p(x|L = 0)+ p(L = 1)p(x|L = 1). Here L is the true class label that indicates which class-conditioned pdf generates the data.
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Computer Graphics, Autumn 2019 Assignment 2 The Path of Light Alexandros Keros, Kartic Subr Due date: 04/11/19 (5pm) Your recent success with the “Reel to Real” Studios interview has landed you a position as a computer graphics intern! Your first task is to implement a custom ray tracer, in C++, to augment the company’s rendering
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CS 189 / 289A Introduction to Machine Learning Fall 2022 Jennifer Listgarten, Jitendra Malik HW2 Due 10/04/21 at 11:59pm • Homework 2 consists entirely of coding questions. • We prefer that you typeset your answers using LATEX or other word processing software. If you haven’t yet learned LATEX, one of the crown jewels of computer
CS6603 AI Ethics and Society Homework Project #3 ● Dixon, Lucas & Li, John & Sorensen, Jeffrey & Thain, Nithum & Vasserman, Lucy. “Measuring and Mitigating Unintended Bias in Text Classification,” AAAI/ACM Conference on AI, Ethics, and Society, pp. 67-73, 2018. https://www.aies- conference.com/2018/contents/papers/main/AIES_2018_paper_9.pdf ● Tolga Bolukbasi, Kai-Wei Chang, James Zou, Venkatesh Saligrama, and Adam Kalai,
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CISC 271 Assignment #2 Regression and Cross-Validation The subject matter for this assignment is data of the environment, specifically air quality. The data were downloaded from the University of California at Irvine, which maintains extensive data sets for machine learning. The data were gently processed for use in this class. Coding for this requires multiple