CFP: NIPS*94 Postconference Workshop

[Michael Perrone]

        CALL FOR PARTICIPANTS
        ---------------------

 Below is the preliminary summary of the NIPS*94 Postconference
 Workshop on algorithms for high dimensional spaces.

 If you would like to contribute a talk, please send a title and
 abstract to the organizer.


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Title
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	Algorithms for High Dimensional Space: What Works and Why


Description
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	The performance of certain regression algorithms is robust
	as the dimensionality of the data and parameter spaces are
	increased. Even in cases where the number of parameters is
	much larger than the number of data, performance is often
	robust.  The central question of the workshop will be:
	What makes these techniques robust in high dimensions?

	High dimensional spaces have (asymptotic) properties that are
	nonintuitive when considered from the perspective of the two-
	and three-dimensional cases generally used for visual examples.
	Because of this fact, algorithm design in high dimensional
	spaces can not always be done by simple analogy with low
	dimensional problems.  For example, a radial basis network is
	intuitively appealing for a one dimensional regression task;
	but it must be used with care for a 100 dimensional space and
	it may not work at all in 1000.  Thus having a familiarity with
	the nonintuitive properties of high dimensional space may lead
	to the development of better algorithms.

	We will discuss the issues that surround successful nonlinear
	regression estimation in high dimensional spaces and what we
	can do to incorporate these techniques into other algorithms
	and apply them in real-world tasks.  The workshop will cover
	topics including the Curse of Dimensionality, Projection
	Pursuit, techniques for dimensionality reduction, feature
	extraction techniques, statistical properties of high
	dimensional spaces, clustering in high dimensions and all of
	the tricks that go along with these techniques to make them
	work.

	The workshop is targeted on researchers interested in both
	theoretical and practical aspects of improving network
	performance.

Length
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	One day.

Format
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	Morning:   3 half hour talks each followed by 10 minutes of questions.
	Afternoon: 3 half hour talks each followed by 10 minutes of questions.

Organizer
---------
	Michael P. Perrone                           mpp at watson.ibm.com
        IBM - Thomas J. Watson Research Center
        P.O. Box 704 / Rm J1-K08
        Yorktown Heights, NY 10598