Borrowing Strength, Learning Vector Valued Functions and Supervised Dimension Reduction
published: Jan. 19, 2010, recorded: December 2009, views: 3927
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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.
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