CSCE 883 Calendar

Date Topic Reading Homework
Jan 14 Introduction
  • Chapter 1
  •  
    Jan 16 Concept Learning
  • Chapter 2
  •  
    Jan 21 Concept Learning (cont)
  • Chapter 2
  •  
    Jan 23 Snow closing
  • Chapter 3
  •  
    Jan 28 Decision Trees
  • Chapter 3
  •  
    Jan 30 Decision Trees
  • Chapter 3
  •  
    Feb 4 Artificial Neural Networks
  • Chapter 4.
  •  
    Feb 6 Artificial Neural Networks
  • Chapter 4.
  •  
    Feb 11 Time for questions.    
    Feb 13 Test 1    
    Feb 18 Bayesian Learning
  • Chapter 6
  •  
    Feb 20 Bayesian Learning
  • Chapter 6
  •  
    Feb 25 Bayesian Learning, Computational Learning Theory
  • Chapter 6
  • Chapter 7
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    Feb 27 Computational Learning Theory
  • Chapter 7
  •  
    Mar 4 Instance-Based Learning
  • Chapter 8
  •  
    Mar 6 Support Vector Machines
  • Bernhard Scholkopf. Support Vector Machines: A Practical Consequence of Learning Theory. IEEE Intelligent Systems, July/August; 13(4)1998.
  • Christopher J. C. Burges. A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998. (not required reading)
  •  
    Mar 11 Spring Break    
    Mar 13 Spring Break    
    Mar 18 Genetic Algorithms
  • Chapter 9
  • PS 1 due
    Mar 20 No class    
    Mar 25 Time for questions.    
    Mar 27 Test 2    
    Apr 1 Learning Sets of Rules
  • Chapter 10
  •  
    Apr 3 Learning Sets of Rules
  • Chapter 10
  •  
    Apr 8 Analytical Learning
  • Chapter 11
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    Apr 10 Analytical Learning
  • Chapter 11
  •  
    Apr 15 Combining Inductive and Analytical Learning
  • Chapter 12
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    Apr 17 Combining Inductive and Analytical Learning
  • Chapter 12
  •  
    Apr 22 Reinforcement Learning
  • Chapter 13
  •  
    Apr 24 Time for questions    
    Apr 29 No Class.   PS 2 due.
    May 2 Test 3 @ 2:00pm    

    A funny comic strip.

    José M Vidal
    Last modified: Mon Apr 14 15:06:28 EDT 2003