Name: CIS 521 Page 1 of 7 THE UNIVERSITY OF PENNSYLVANIA SAMPLE EXAM – Given in Fall, 2015 Points Possible: 100 POINT COUNTS ACCURATE CIS 521 INTRODUCTION TO ARTIFICIAL INTELLIGENCE Midterm I (Time allowed: 80 minutes) Section Points Max 1 True/False Multiple Choice 20 2 Search 20 3 Heuristics 20 4 Adversarial search 10 5 […]
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University of Toronto Scarborough Introduction to Machine Learning and Data Mining CSCC11H3 Fall 2021 Take-home Final Exam Due December 21, 2021 at 11:59 pm Analysis of the Stock Market Fluctuations, Anomalies and Fear Index Using Data-driven Methodologies Overview Throughout this take-home exam, you will use your machine learning and analytic skills by building an algorithm
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Learning Parameters of Bayesian Networks with EM Collins reading; AIMA 20.3 CMPSC 442 Week 10, Meeting 29, Three Segments Outline ● Formalizing Naive Bayes ● EM for Learning a Naive Bayes model ● Generalizing EM 2Outline, Wk 10, Mtg 29 Learning Parameters of Bayesian Networks with the EM Algorithm Collins reading; AIMA 20.3 CMPSC 442
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Natural Language Processing CMPSC 442 Week 13, Meeting 38, Three Segments Outline ● Early Decades ● Shift to Machine Learning Paradigm ● NLP Deep Learning: Excerpts from Mirella Lapata 2017 Keynote 2Outline, Wk 13, Mtg 37 Natural Language Processing CMPSC 442 Week 13, Meeting 38, Segment 1: Early Decades Early Vision ● The Ultimate Goal
NAME: CMPSC 442 PSU Login ID: FINAL EXAM: 100 points FALL 2018 INSTRUCTIONS: Write your name and SID at the top of every page. Write your answers on the exam sheet in the white space below the questions. When you finish, show your id when you turn in your exam. Item Question Maximum Points Actual
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Search in Non-Deterministic or Partially Observable Environments AIMA 4.3-4.4 CMPSC 442 Week 4, Meeting 10, Three Segments Outline ● Non-Deterministic Problems and Belief States ● Sensorless Problems ● Exploration Problems Outline, Wk 4, Mtg 10 2 Search in Non-Deterministic or Partially Observable Environments AIMA 4.3-4.4 CMPSC 442 Week 4, Meeting 10, Segment 1 of 3:
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CSP Search AIMA 6.3-6.4 CMPSC 442 Week 5, Meeting 15, Four Segments Outline ● CSP Backtracking Search ● CSP Search Heuristics ● Local Search for CSPs ● The Structure of CSP Problems 2Outline, Wk 5, Mtg 15 CSP Search AIMA 6.3-6.4 CMPSC 442 Week 5, Meeting 15, Segment 1 of 4: CSP Backtracking Introducing CSP
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Uninformed Search AIMA 3.3-3.4; Appendix A.1 CMPSC 442 Week 2, Meeting 7, Segment 2 of 4: Tree versus Graph Search Dilemma: Repeated States, or Redundant Paths Paths with repeated states are non-optimal: see slides 29-30 of Wk 2, Mtg 6; Arad appears at root and at depth 2 of Romanian map navigation Three solutions ●
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Slides adapted from U.C. Berkeley CS 188, Dan Klein and Peter Abbeel [ Markov Decision Processes (MDPs) AIMA 17 CMPSC 442 Week 11, Meeting 31, Four Segments Outline ● Introducing Markov Decision Processes ● Utilities of State Sequences ● Optimal Policies ● Intro to Solving MDPs 2Outline, Wk 11, Mtg 31 Markov Decision Processes (MDPs)
Search as Optimization AIMA 4.1 – 4.2 CMPSC 442 Week 3, Meeting 9, Three Segments Outline ● Search as Optimization: Hill-Climbing (a Local Search Method) ● Other Local Search Methods ○ Simulated Annealing ○ Beam Search ○ Genetic Algorithms ● Search in Continuous Spaces 2Outline, Wk 3, Mtg 9 Search as Optimization AIMA 4.1 –
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