[an error occurred while processing this directive] [an error occurred while processing this directive]

---

Lecture Notes

(Last updated 12/14/1999)

• Lecture 0 (Tuesday, August 24, 1999): A Brief Survey of Machine Learning
  MS PowerPoint 97 format
  Compressed PostScript format (color, 2-up)
• Lecture 1 (Thursday, August 26, 1999): Concept Learning and the Version Space Algorithm
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 2 (Tuesday, August 31, 1999): Inductive Bias and PAC Learning
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 3 (Thursday, September 2, 1999): PAC Learning, VC Dimension, and Mistake Bounds
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 4 (Tuesday, September 7, 1999): Decision Trees
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 5 (Thursday, September 9, 1999): Decision Trees, Occam's Razor, and Overfitting
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 6 (Tuesday, September 14, 1999): Perceptrons and Winnow
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 7 (Thursday, September 16, 1999): Multi-Layer Perceptrons and Backpropagation of Error
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 9 (Thursday, September 23, 1999): Bayes's Theorem, MAP, and Maximum Likelihood Hypotheses
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 10 (Tuesday, September 28, 1999): Bayesian Classifiers: MDL, BOC, and Gibbs
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 11 (Thursday, September 30, 1999): Simple (Naive) Bayes and Probabilistic Learning over Text
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 12 (Tuesday, October 5, 1999): Introduction to Bayesian Networks
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 13 (Thursday, October 7, 1999): Learning Bayesian Networks from Data
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 14 (Tuesday, October 12, 1999): Midterm Review
  MS PowerPoint 97 format
  Compressed PostScript format (color, 2-up)
• Lecture 15 (Tuesday, October 19, 1999): Expectation-Maximization (EM), Unsupervised Learning, and Clustering
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 16 (Thursday, October 21, 1999): Time Series and Stochastic Processes
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 17 (Tuesday, October 26, 1999): Policy Learning and Markov Decision Processes
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 18 (Thursday, October 28, 1999): Introduction to Reinforcement Learning: Q Learning
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 19 (Tuesday, November 2, 1999): More Reinforcement Learning: Temporal Differences
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 20 (Thursday, November 4, 1999): Neural Computation
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 21 (Tuesday, November 9, 1999): Combining Classifiers: Weighted Majority, Bagging, and Stacking
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 22 (Thursday, November 11, 1999): Combining Classifiers: Boosting the Margin and Mixtures of Experts
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 23 (Tuesday, November 16, 1999): Introduction to Genetic Algorithms
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 24 (Thursday, November 18, 1999): Introduction to Genetic Programming
• Lecture 25 (Tuesday, November 23, 1999): Instance-Based Learning (IBL): k-Nearest Neighbor and Radial Basis Functions
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 26 (Tuesday, November 30, 1999): Rule Learning and Extraction
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 27 (Thursday, December 2, 1999): Inductive Logic Programming (ILP)
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 28 (Tuesday, December 7, 1999): Knowledge Discovery in Databases (KDD) and Data Mining
  MS PowerPoint 97 format
  Compressed PostScript format (color, 6-up)
• Lecture 29 (Thursday, December 9, 1999): Conclusions and Final Review
  MS PowerPoint 97 format

Back to the CIS798 main page

Page created: 08/18/1999 Last updated: 12/14/1999 William H. Hsu