TODAY! [Staff] [Colloquium] Sindhwani/M.S. Presentation/Nov. 3, 2004

[Andrea Rosalez]

On Oct 20, 2004, at 3:41 PM, Margaret Jaffey wrote:

> This is an announcement of Vikas Sindhwani's Master's Presentation.
>
> -------------
> Date:  Wednesday, November 3, 2004
>
> Time:  2:30 p.m.
>
> Place:  Ryerson 251
>
> M.S. Candidate:  Vikas Sindhwani
>
> M.S. Paper Title:  Kernel Machines for Semisupervised Learning
>
> Abstract:
> This thesis proposes a unifying framework for learning from examples in
> which the geometric structure of the probability distribution  
> underlying
> the data is incorporated within the learning mechanism. Families of
> algorithms for semi-supervised learning, clustering and data
> representation are derived within this framework. Two specific  
> algorithms
> are presented: Laplacian Regularized Least Squares and the
> Laplacian Support Vector Machines, that are natural semi-supervised
> extensions of popular regularization methods in Reproducing Kernel  
> Hilbert
> Spaces. In addition, several recently proposed transductive methods are
> also seen to be special cases of this general approach.  New  
> Representer
> theorems are proved that provide a theoretical basis for these  
> algorithms.
> The problem of out-of-sample extension to novel examples (in Spectral
> clustering and graph-based approaches to transductive learning) is
> natually resolved in this framework. We present experimental evidence
> suggesting that our semi-supervised algorithms are able to use  
> unlabeled
> data effectively. Finally, this thesis also includes some ideas for
> efficient implementation of these algorithms and extentions of this
> framework for invariant learning.
>
> Advisor:  Prof. Partha Niyogi
>
> A draft copy of Vikas Sindhwani's MS Paper will be available soon in  
> Ry 161A.
>
> --  
> =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
> Margaret P. Jaffey				margaret at cs.uchicago.edu
> Department of Computer Science
> Student Support Rep (Ry 161A)		(773) 702-6011
> The University of Chicago		http://www.cs.uchicago.edu
> =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- 
> =-
>
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