CS 540 - Introduction to Artificial Intelligence Section 1 Spring 2012

CS 540 Reading Assignments

• 5/4: Chapters 8.1 - 8.3
• 4/30: Chapters 7.1, 7.3 - 7.5
  (though not required reading, there is a nice propositional logic applet online)
• 4/18: "Face recognition using eigenfaces" by M. Turk and A. Pentland, Proc. Computer Vision and Pattern Recognition Conf., 1991, 586-591
  (An alternative paper that is longer but may be easier to read is: Eigenfaces for recognition" by M. Turk and A. Pentland, Journal of Cognitive Neuroscience 3(1), 1991, 71-86)
• 4/13: Chapter 15.1 - 15.3, 23.5, and "Markov models and hidden Markov models: A brief tutorial" by E. Fosler-Lussier, Technical Report TR-98-041, Int. Computer Science Institute, University of California, Berkeley, 1998
• 4/9: "Bayesian networks without tears" by E. Charniak, AI Magazine, Winter 1991, 50-63 (this is NOT required reading)
• 4/9: Chapter 14.1, 14.2, 14.4
• 3/23: Chapter 13
• 3/19: Chapter 18.3 and 18.4
  (though not required reading, the description and demo of decision trees at AIxploratorium is excellent)
• 3/5: Chapter 18.9 and "Support vector machines" edited by M. Hearst, IEEE Intelligent Systems, July/August 1998, 18-28
  (A nice SVM applet is online)
• 2/24: Chapter 18.1, 18.2, 18.6.3, 18.6.4 and 18.7
• 2/20: Chapter 6.1 - 6.3
• 2/13: Chapter 5.1 - 5.3
  (though not required reading, there is a nice Alpha-Beta algorithm applet online)
• 2/8: Chapter 4.1
• 2/3: Chapter 3.5 and 3.6
• 1/27: Chapter 3.1 - 3.4
• 1/23: Chapters 1 and 2 (focus on Sections 1.1, 2.1, 2.2 and 2.3; skim other sections) in the textbook