This is a forwarded message
From: Mauro Birattari <[EMAIL PROTECTED]>
To: Seminars <[EMAIL PROTECTED]>, Y.Le Borgne <[EMAIL PROTECTED]>
Date: Wednesday, April 13, 2005, 11:54:41 AM
Subject: IRIDIA Seminar on Fri 15 Apr 2005 at 03:00 PM
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I R I D I A S E M I N A R
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Who:
Y. Le Borgne <[EMAIL PROTECTED]>
Machine Learning Group
Computer Science Department
UniversitГ© Libre de Bruxelles
What:
An adaptive modular approach to the mining of sensor network
data
When:
Fri 15 Apr 2005 from 03:00 PM for 45 min (+questions)
Where:
IRIDIA
Universitй Libre de Bruxelles
Building C, Floor 5
87 av. Adolph Buyl
Brussels, Belgium
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An adaptive modular approach to the mining of sensor
network data
Y. Le Borgne
Machine Learning Group
Computer Science Department
UniversitГ© Libre de Bruxelles
[EMAIL PROTECTED]
http://www.ulb.ac.be/di/map/yleborgn
Abstract
The two main constraints of sensor networks are the high number of data
sources and the sensors' limited ressources. These constraints call for
specific data mining architectures to process information. In this talk,
we propose a two-layer modular architecture to adaptively perform
supervised learning tasks in large sensor networks. We show that a
clustering procedure along with the combination of two algorithms,
recursive PCA and lazy learning, are well suited to sensor network
constraints.
Keywords
Sensor networks, Supervised learning, Online PCA, Lazy learning.
References
* G. Bontempi, Y. Le Borgne (2005) An adaptive modular approach to the
mining of sensor network data. Accepted for publication.
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See also http://iridia.ulb.ac.be/seminars
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Carlos Gershenson...
Centrum Leo Apostel, Vrije Universiteit Brussel
Krijgskundestraat 33. B-1160 Brussels, Belgium
http://homepages.vub.ac.be/~cgershen/
"Describing and understanding problems will not solve them..."
