Ch. Eick
            Review Quiz COSC 7363

due: Sa., May 9, 9p

Please e-mail your answers to ceick@cs.uh.edu
              as well as to   ceick@gateway.net

When submitting your answers just modify this
asci-file, and mail it back to me.

Name:
your email address:
your phone-nr:

Do you want me to post your grades (coded using parts of your ssn) 
for the class on www? 
............................

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Respond to the following questions, following 
the indicated size limitations of your answers. If 
3 sentences is indicated, your answer can consist
of at most 3 sentences (but could be shorter!) --- if
you write more you will be penalized! Good luck!

1. Intelligent Mobile Agents --- What are the characteristics
   of intelligent mobile agent systems? How do they differ from
   distibuted systems that also try to make information available
   to the user that can be found in different systems (5 sentences).


2. AI and Medicine --- What is the main idea of the PISA system?
   What advantages do you see in using the system (compare it 
   to traditional approaches to knowledge acquisition in hospitals)?
   How can intelligent patient image retrievel help a radiologist?
   (5 sentences).

3. AI and WWW --- What key research and development problems have 
   to be solved in order to be able to develop intelligent WWW 
   browsers that go beyond what we currently have (e.g. WEBCRAWLER).
   (6 sentences).

4. Hybrid Reasoning Systems --- Mention one idea (the talk centered
   on at least two) of Hybrid Reasoning Systems! (2 sentences).

5. Instance-based Leaning --- what are the key ideas of 
   instance-based methods? (2 sentences)

6. Statistical Methods --- What is the goal of regression 
   analysis? (1 sentence). What is the goal of discriminant 
   analysis(1 sentence).

7. Decision Trees --- What is the key idea of the information
   gain heuristics of C4.5 (describe in natural language which 
   attributes will receive a high/low score)? What is tree pruning
   and why is it important when applying C4.5 in practice?
   (6 sentences).

8. KDD and others --- what are the goals of KDD? How can KDD
   benefit from methods of feature transformation and subset
   selection (discussed in the last two talks)? (5 sentences)

9. What is soft computing? Why are fuzzy sets, systems, fuzzy 
   engineering considered to be "sub-components" of soft computing
   (4 sentences).

10. Intelligent Image Compression --- define intelligent 
    image compression. How can AI contribute to intelligent image
    compression? (3 sentences)