CS 446
Spring 2005 Part of Term 1
Jan 18-May 4
Credit: 3 OR 4 hours.
(C S 346) Organized review of basic theoretical concepts and methods of machine learning and recognition; decision space and linguistic and relational representation of objects; statistical and deterministic recognition algorithms; various types of learning, including adaptive, procedural, and inductive; selected applications; and medical consulting, determination of cost-optimal classification rules, inferential information systems, and computer vision.
3 undergraduate hours. 3 or 4 graduate hours. Prerequisite: CS 273 and CS 440.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
31421
|
Lecture-Discussion
|
P3
|
12:30PM
-1:45PM
|
WF
|
Digital Computer Laboratory
|
Roth, D
|
|
|
|
39433
|
Lecture-Discussion
|
P4
|
12:30PM
-1:45PM
|
WF
|
Digital Computer Laboratory
|
Roth, D
Chan, J |
|