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Borrowing Strength, Learning Vector Valued Functions and Supervised Dimension Reduction

Borrowing Strength, Learning Vector Valued Functions and Supervised Dimension Reduction

This video was recorded at NIPS Workshops, Whistler 2009. We study the problem of supervised dimension reduction from the perspective of learning vector valued functions and multi-task or hierarchical modeling in ai regularization framework. An algorithm is specied and empirical results are provided. In the second part of the talk the same problem of supervised dimension reduction for a hierarchical model is revisted from a non-parametric Bayesian perspective.
Keywords:
videolectures, ocwc, oec
Disciplines:
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More about this material

Material Type:
Presentation
Date Added to MERLOT:
February 10, 2015
Date Modified in MERLOT:
February 10, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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