CS 446
Fall 2006 All Classes
All Classes
Credit: 3 OR 4 hours.
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.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
46792
|
Lecture
|
D3
|
12:30PM
-1:45PM
|
WF
|
1105 Siebel Center for Comp Sci
|
Dejong, G
|
|
|
|
46793
|
Lecture
|
D4
|
12:30PM
-1:45PM
|
WF
|
1105 Siebel Center for Comp Sci
|
Dejong, G
|
|