COMP90042 Natural Language Processing Workshop Week 3 Haonan Li – haonan.li@unimelb.edu.au 16, March 2020 Outline • Text Classification • N-gram Language Model • Smoothing 1/25 2/25 Text Classification Discussion 1. What is text classification? Give some examples. 2. Why is text classification generally a difficult problem? What are some hurdles that need to be overcome? […]
Artificial Intelligence Review What is an Agent? An entity □ situated: operates in a dynamically changing environment □ reactive: responds to changes in a timely manner □ autonomous:cancontrolitsownbehaviour □ proactive:exhibitsgoal-orientedbehaviour □ communicating: coordinate with other agents?? Examples: humans, dogs, …, insects, sea creatures, …, thermostats? Where do current robots sit on the scale? Lectures Environment
Ensemble Learning COMP9417 Machine Learning and Data Mining Term 2, 2020 COMP9417 ML & DM Ensemble Learning Term 2, 2020 1 / 70 Acknowledgements Material derived from slides for the book “Elements of Statistical Learning (2nd Ed.)” by T. Hastie, R. Tibshirani & J. Friedman. Springer (2009) http://statweb.stanford.edu/~tibs/ElemStatLearn/ Material derived from slides for the book
Automata, Computability and Complexity: Theory and Applications Elaine Rich Originally published in 2007 by Pearson Education, Inc. © Elaine Rich With minor revisions, July, 2019. Table of Contents PREFACE ………………………………………………………………………………………………………………………………..VIII ACKNOWLEDGEMENTS…………………………………………………………………………………………………………….XI CREDITS…………………………………………………………………………………………………………………………………..XII PARTI: INTRODUCTION…………………………………………………………………………………………………………….1 1 2 3 4 Why Study the Theory of Computation? ……………………………………………………………………………………………2 1.1 The Shelf Life of Programming Tools ………………………………………………………………………………………………2 1.2 Applications
LOGIC IN COMPUTER SCIENCE by Benji MO Some people are always critical of vague statements. I tend rather to be critical of precise statements. They are the only ones which can correctly be labeled wrong. – Raymond Smullyan August 2020 Supervisor: Professor Hantao Zhang TABLE OF CONTENTS Page LISTOFFIGURES …………………………. viii CHAPTER 1 IntroductiontoLogic ……………………..
SAT Solvers Logic in Computer Science 1 SAT Solvers: Decide if a set of clauses is satisfiable. • Fundamental problem from theoretical point of view – Cook Theorem, 1971: the first NP-complete problem. • Numerous applications: – Solving any NP problem… – Verification: Model Checking, theorem-proving, … – AI: Planning, automated deduction, … – Design
程序代写代做代考 C algorithm graph database go data structure decision tree SAT Solvers Read More »
EXPLAINABLE ARTIFICIAL INTELLIGENCE School of Computing and Information Systems Co-Director, Centre for AI & Digital Ethics The University of Melbourne @tmiller_unimelb Copyright By PowCoder代写 加微信 powcoder This material has been reproduced and communicated to you by or on behalf of the University of Melbourne pursuant to Part VB of the Copyright Act 1968 (the Act).
代写代考 XRDS 25, 3 (Spring 2019), 20–25. https://doi.org/10.1145/3313107 FURTHER RE Read More »
CSIT314 Software Development Methodologies This lab exercise provides you a hand-on experience with data-driven software development using Weka. 1. Carefully go through the lecture notes on “Data-driven software development”. Make sure you understand the basic concepts of features/attributes, classification, and each activity in the data-driven software development lifecycle. Copyright By PowCoder代写 加微信 powcoder a. Model
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HW1 For each of the following meetings, explain which phase in the CRISP-DM process is represented: a. Managers want to know by next week whether deployment will take place. Therefore, analysts meet to discuss how useful and accurate their model is. b. The data mining project manager meets with the data warehousing manager to discuss how the data
程序代写代做代考 decision tree data mining HW1 Read More »
GIVEN TABLE :- ASSIGNMENT-3 SOLUTIONS Occupation Gender Age Salary Level Service Female 45 $48000 Level 3 Service Male 25 $25000 Level 1 Service Male 33 $35000 Level 2 Management Male 25 $45000 Level 3 Management Female 35 $65000 Level 4 Management Male 26 $45000 Level 3 Management Female 45 $70000 Level 4 Sales Female 40
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