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[[Category:2010 Spring ECE 662 mboutin]] | [[Category:2010 Spring ECE 662 mboutin]] | ||
| − | = | + | =Details of Lecture 4, [[ECE662]] Spring 2010= |
| + | In Lecture 4, we introduced two methods for finding decision hypersurfaces, namely: 1) supervised learning, and 2) unsupervised learning. We then introduced [[Bayes_Decision_Theory|Bayes rule]] for making decisions. (This rule is the basis for this course.) We focused our discussion on the case where the features are discrete. | ||
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| + | Previous: [[Lecture3ECE662S10|Lecture 3]] | ||
| + | Next: [[Lecture5ECE662S10|Lecture 5]] | ||
| + | ---- | ||
| + | [[OutlineECE662S10|Back to course outline]] | ||
| + | [[ 2010 Spring ECE 662 mboutin|Back to 2010 Spring ECE 662 mboutin]] | ||
| − | + | [[ECE662|Back to ECE662]] | |
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Latest revision as of 10:41, 13 April 2010
Details of Lecture 4, ECE662 Spring 2010
In Lecture 4, we introduced two methods for finding decision hypersurfaces, namely: 1) supervised learning, and 2) unsupervised learning. We then introduced Bayes rule for making decisions. (This rule is the basis for this course.) We focused our discussion on the case where the features are discrete.
Previous: Lecture 3
Next: Lecture 5
