ECE697CE – Spring 2019 Lesson 14 Practice Problems 1. The following problems deal with translating from C code to MIPs code. Assume that variables x, y and z are given and implemented as 32-bit integers in a C program (y is an even number). Also assume the values of x, y and z are stored […]
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1 Introduction Let and a2,1×1 +a2,2×2 +···+a2,nxn = b2 . = . an,1×1 +an,2×2 +···+an,nxn = bn a1,1 a1,2 ··· a1,n a2,1 a2,2 ··· a2,n A=. . .. . AM6007 Assignment 4 Write a console app (program) in C# which solves a system of linear equations using the iterative Gauss-Jacobi method. 2 Gauss-Jacobi Method Consider
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Video 1: Introduction Accelerated Natural Language Processing Week 3/Unit 2 Dialect and discrimination Sharon Goldwater Sharon Goldwater ANLP Week 3/Unit 2 The role of subjectivity Easy to think science and engineering are objective. • We parse 3 sentences per second. • Our system gets 97% accuracy on the test set. Sharon Goldwater ANLP Week 3/Unit
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Dense Word Vectors ANLP: Week 9, Unit 3 Shay Cohen Based on slides from ANLP 2019 Last class Represent a word by a context vector Each word x is represented by a vector ⃗v. Each dimension in the vector corresponds to a context word type y Each vi measures the level of association
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ANLP Week 2/Unit 3 N-gram models and smoothing Sharon Goldwater (some slides from Philipp Koehn) Video 1: Add-one smoothing Sharon Goldwater ANLP Week 2/Unit 3 Recap: N-gram models • We can model sentence probs by conditioning each word on N − 1 previous words. • For example, a bigram model: Sharon Goldwater ANLP Week 2/Unit
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CSc600 – Homework: Ruby Dr. Jozo Dujmović The goal of this homework is to practice programming in Ruby and prepare for the final exam. For each problem, your homework must contain the source program followed by the results of its execution. 1. Write a single Ruby demo program that illustrates the use of all main
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Video 1: Viterbi algorithm motivation ANLP Week 4/Unit 2 Algorithms for HMMs Sharon Goldwater (based on slides by Philipp Koehn) Sharon Goldwater ANLP Week 4/Unit 2 But… tagging? Sharon Goldwater ANLP Week 4/Unit 2 1 Hidden Markov Model (HMM) HMM is actually a very general model for sequences. Elements of an HMM: • a set
ANLP Tutorial Exercise Set 2 (v1.0) WITH SOLUTIONS For tutorial groups in week 4 Sharon Goldwater (School of Informatics, University of Edinburgh) Goals This week’s exercises and questions follow the various threads of the week’s materials: text classification, methodological and ethical issues, and in particular issues of dialect. First, it will give you some practice
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Video 1: Introduction ANLP Week 3/Unit 1 Text Categorization with Naive Bayes Sharon Goldwater Sharon Goldwater ANLP Week 3/Unit 1 Text categorization: example Dear Prof.Sharon Goldwater: My name is [XX]. I am an ambitious applicant for the Ph.D program of Electrical Engineering and Computer Science at your university. Especially being greatly attracted by your research
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• (30 points) A bank is studying the impact of its advertisement channels on number of new Savings accounts opened during a specific period. The followings channels are considered: A: Printed adverb sent via direct mail with two levels of paper quality: standard (-1) and premium (+1). B: Email adverb with two different designs: standard