Advanced AI --- Topic Superlist                  
I  Machine Learning
 1. Foundations of Machine Learning
   A. Survey Machine Learning Techniques <0-2
   B. Theory of ML: Michalki's Work &  Valiant's Learning Theory 0-2
 2. Learning Class Descriptions from Examples 
   A. Decision Tree Approaches <2
   B. Neural Networks <2
   C. Statistical Approaches
      a Naive Bayesian Classifiers C 
      b Bayesian Inference Networks and Belief Networks 1-2 <Tau Leng 
      c Regression Analysis and related techniques 1 <Tau Leng 
      d Discriminant Analysis
   D. Fuzzy Engineering Approaches  < 
   E. Genetic Programming < 
 3. Unsupervised Learning, Clustering and Nearest Neighbor Approaches <? 
 4. Other Machine Learning Paradigms
   A. Reinforcement Learning
   B. Inductive Logical Programming
   C. Explanation-Based Learning
   D. Evolutionary Learning and Classifier Systems 
   ....
II Expert and Knowledge-Based Systems
 1. Introduction C?
 2. Approximate Reasoning
 3. Knowledge Acquisition and other Methods to acquire human expertise <
 4. Hybrid Systems 
   ....
III Case Study: Learning Class Descriptions from
                Examples using Different Methods
IV Knowledge Discovery in Databases
 1. Introduction
 2. Data Warehousing and OLAP < 
 3. Problems on the KDD front end --- how to get data into your tools <
 4. Data Mining < 
 5. Visualization for Data Analysis
 6. Survey on Available KDD Tools
V Using AI for WWW <
VI Heuristic Search
 1. Introduction
 2. Review of Search Algorithms
 3  Applications
    a Computer Chess <
    b.Genome Project ?
    c. Intelligent Information Retrieval for WWW Ting 
    d AI for Software Engineering <Leng Tau
   ...
                I Machine Learning Block

Inductive Learning Case Study Feb. 16
Decision Trees  Feb. 16+18 Ruth Huang + Nidal Zeidat
Neural Networks Feb. 23+25 Mary Rudolph-Gips
Regression Analysis and Statistical Techniques March 2 Leng Tau 
Genetic Programming March 4 Rod Chapa 
Bayesian Systems and Bayesian Learning  Olle Larson March 9
Discrimant Analysis and/or statistical pattern recognition Sookram
March 11 TBA (likely a discussion or paper walk through)
Fuzzy Engineering March 23A Mary Rudolph-Gips / Quevedo??
Unsupervised Learning, Clustering, and Nearest-Neighbor Approaches
Other Machine Learning Paradigms Ting 
Learning Theory possibly Tsung-i Huang
Visualization possibly Po-Chao Huang

                II KDD-block Manish Singh +  Ruth Huang + Bak + Quevedo 
                  March 30+April2+7+9

                III Expert System Block April 14+16

Knowledge Acquisition & Expert Systems Gudikandula, Quevedo, Sookran(sh),
                                       Po-Chao Huang(sh)))

Hyrid Systems Ting 

                IV Applications Block 
Reports on Case Studies April 21 (double link)
Computer Chess Manish Singh April 23
Software Engineering Tau Leng April 28
Computer Networks Bak  Feb. 25
Intelligent Infromation Retrival and WWW Kuo-Chieh Ting + Tsung-i Huang
                                         + Rod Chapa + Ruth Huang 
Spreech Recognition Po-Chao Huang