[Research] Come to TK's thesis proposal Monday 9am GHC 4405

[Jeff Schneider]

Hi Everyone,

The next Auton Lab thesis proposal will be on Monday at 9am.  If you're 
available, please come and see TK present!

Jeff.


-------- Original Message --------
Subject: Reminder - Thesis Proposal - 1/30/12 - Exploiting Non-sequence Data in 
Dynamic Model Learning
Date: Fri, 27 Jan 2012 11:27:18 -0500
From: Diane Stidle <diane+ at cs.cmu.edu>
To: ml-seminar at cs.cmu.edu, Shourabh Rawat <srawat at andrew.cmu.edu>, 
ashojaie at u.washington.edu

Thesis Proposal...

Date: 1/30/12
Time: 9:00am
Place: 4405 GHC
Speaker: Tzu-Kuo (TK) Huang

Title: Exploiting Non-sequence Data in Dynamic Model Learning

Abstract:

Virtually all methods of learning dynamic models from data start from
the same basic assumption: that the learning algorithm will be provided
with a single or multiple sequences of data generated from the dynamic
model. However, in quite a few modern time series modeling tasks, the
collection of reliable time series turns out to be a major challenge,
either due to the slow progression of the dynamic process of interest,
or inaccessibility of repetitive measurements of the same dynamic
process over time. In those situations, we observe that it is often
easier to collect a large amount of non-sequence samples, or snapshots
of the dynamic process of interest.

Thesis Committee:

Jeff Schneider (Chair)
Ziv Bar-Joseph
Geoff Gordon
Ali Shojaie (University of Washington)

Link to draft document: http://www.cs.cmu.edu/~tzukuoh/tk_proposal_draft.pdf


-- 
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Diane Stidle
Business & Graduate Programs Manager
Machine Learning Department
School of Computer Science
8203 Gates Hillman Complex			
Carnegie Mellon University		
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Pittsburgh, PA  15213-3891
Phone: 412-268-1299
Fax:   412-268-3431
Email: diane at cs.cmu.edu	
URL:http://www.ml.cmu.edu