Filter by
Found 2 from your keywords: subject="Supervised learning (...
Boosting: Foundations and Algorithms
A remarkably rich theory has evolved around boosting, with connections to a range of topics including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. …
- Edition
- -
- ISBN/ISSN
- 9780262301183
- Collation
- 1 online resource (xv, 526 pages) :illustrations
- Series Title
- -
- Call Number
- -
Semi-supervised learning
A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems, this text looks at state-of-the-art algorithms, applications benchmark experiments, and directions for future research.OCLC-licensed vendor bibliographic record.
- Edition
- -
- ISBN/ISSN
- 9780262255899
- Collation
- 1 online resource (x, 508 pages) :illustrations.
- Series Title
- -
- Call Number
- -
Computer Science, Information & General Works 
Philosophy & Psychology 
Religion 
Social Sciences 
Language 
Pure Science 
Applied Sciences 
Art & Recreation 
Literature 
History & Geography