Dear UAI List Moderator,
Please post following CFP to the mailing list.
Thanks,
- Fei
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===============================================
Call for Participation and
Call for Papers
Statistical Machine Learning for Visual Analytics
Workshop at the
23rd Annual Conference on Neural Information Processing Systems
(NIPS 2009)
Time: December 11, 2009
Location: Glacier Room, Westin Hotel, Whistler, BC, Canada
http://www.cc.gatech.edu/~lebanon/smlva/
Submission Deadline: November 20, 2009
===============================================
We apologize for multiple postings -
As the amount and complexity of available information grows,
it becomes clear that traditional data analysis methods are
insufficient. In particular, the data analysis process becomes
inherently iterative and interactive: i) users start analysis with
a vague modeling assumption (expressed often as a form of domain
knowledge) about the data; ii) data are analyzed and the
intermediate results are visually presented to the users; iii)
users revise modeling assumptions and the process iterates.
This process has emerged as a prominent framework in many data
analysis application areas including business, homeland security,
and health care. This framework, known succinctly as visual
analytics, combines visualization, human computer interaction,
and statistical data analysis in order to derive insight from
massive high dimensional data.
Many statistical learning techniques, for instance, dimensionality
reduction for information visualization and navigation, are fundamental
tools in visual analytics. Addressing new challenges -- being iterative
and interactive -- has potential to go beyond the limits of traditional
techniques. However, to realize its potential, there is a need to
develop new theory and methodology that bridges visualization, interaction,
and statistical learning.
The purpose of this workshop is to expose the NIPS audience to this new
and exciting interdisciplinary area and to foster the creation of a new
specialization within the machine learning community: machine learning for
visual analytics.
In addition to invited talks, we would like to encourage submissions
of high-quality short papers relevant to the workshop topics. Accepted
papers will be presented as posters or spotlight talks (schedule
permitting).
Submission deadline: November 20
Length & Format: max. 3 pages NIPS 2009 format
Submission instructions: Email to one of the organizers (Guy Lebanon at
leba...@cc.gatech.edu or Fei Sha at fei...@usc.edu
A preliminary schedule is published at the workshop's tentative website at
http://www.cc.gatech.edu/~lebanon/smlva/
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