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MERLOT II




        

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9.520 Statistical Learning Theory and Applications

        

9.520 Statistical Learning Theory and Applications

Logo for 9.520 Statistical Learning Theory and Applications
Focuses on the problem of supervised learning from the perspective of modern statistical learning theory starting with the theory of multivariate function approximation from sparse data. Develops basic tools such as Regularization including Support Vector Machines for regression and classification. Derives generalization bounds using both stability and VC theory. Discusses topics such as boosting and feature selection. Examines applications in several areas: computer vision, computer graphics,... More
Material Type: Online Course
Date Added to MERLOT: June 09, 2011
Date Modified in MERLOT: June 09, 2011
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Mobile Compatibility: Not specified at this time
Language: English
Cost Involved: no
Source Code Available: unsure
Accessiblity Information Available: unsure
Creative Commons: Creative Commons License
This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States

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