Difference between revisions of "Winnow Algorithm"
From Cohen Courses
Jump to navigationJump to search (Created page with 'Winnow Algorithm is a [[category::method | ]] for learning a linear classifier/decision hyper-plane from labeled examples. It scales well to high dimensions especially when many …') |
(No difference)
|
Revision as of 06:04, 6 November 2012
Winnow Algorithm is a for learning a linear classifier/decision hyper-plane from labeled examples. It scales well to high dimensions especially when many of the dimensions are irrelevant. Thus it finds good use for text classification problems using a bag-of-words feature representation.