Course Handouts

EE511 -- Introduction to Statistical Learning -- Spring 2008

Homework Assignments

• Homework #1 (due 11 Apr) [Skip Problem 5]
  Solutions
• Homework #2 (due 17 Apr)
  Data for problem 2: data.mat (matlab array of 500 3d vectors) data.ascii (ascii format)
  Solutions
• Homework #3 (due 25 Apr)
  Data for problem 4: Training data in Matlab and ascii format; Test data in Matlab and ascii format
  Solutions
• Homework #4 (Figure in problem 3) (due 2 May) (revised Problem 1)
  Solutions
• Homework #5 (due 9 May)
  Data for problem 3: Matlab, ascii
  Skip problem 5 since we didn't get to it in lecture. We'll save that for another time.
  Solutions for 1,2,4, #3 ROC curve, #3 PR curve
• Homework #6 (due 16 May)
  Solutions

Class Assignments

• 1 April: Example problems
• 4 April: Decision theory
• 11 April: Maximum likelihood estimation

Exams

• 2008 In-class exam solutions
• 2008 Take-home part
  • README
  • All Data in one compressed tar file
  • Data in separate files (Matlab format): adapt, train, dev, test
  • Data in separate files (ASCII format): adapt, train, dev, test
  • Solutions
• Sample Old Exam: Blank; Solutions
• W04 Blank Exams: in-class part; Solutions (low=45, high=83, max=100)
  Take-home part Notes on Solutions for Different Classifiers (low=60, high=80, max=80)
  

Project Information

• Speaker recognition project: info & data
• Topic identification project: info & data
• Report and presentation guidelines
• Evaluation results summary
• Important Dates
• Evaluation data posted: May 30
• Results (classifier decisions): 9:30AM June 8.
• Title and abstract: 5PM, June 9
• Presentation materials: 11AM, June 10
• Talk: 3:30-6:30 June 10, EEB 403
• Report: 10AM June 12.

Notes and Other Handouts

• random variable table

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