[Corpora-List] CFP: ICML Workshop - Continuum from Labeled to Unlabeled Data

Rayid Ghani rayid at cs.cmu.edu
Wed Apr 16 09:11:45 UTC 2003


CALL FOR PAPERS
ICML 2003 Workshop (Co-located with KDD 2003)
The Continuum from Labeled to Unlabeled Data in Machine Learning and
Data Mining
August 21, 2003. Washington, DC.
 <http://www.accenture.com/techlabs/icmlworkshop2003/>
http://www.accenture.com/techlabs/icmlworkshop2003/

Important Dates
Papers Due: May 5, 2003 (Extended Deadline)
Notification: May 25, 2003
Final Version Due: June 10, 2003
Workshop: August 21, 2003

There is a spectrum of ways to use data in machine learning and data
mining. At the one end is completely unsupervised learning or
clustering, and at the other end is supervised learning where the target
output is known for every instance.

This workshop aims to explore the space between these extremes, with
particular attention to a variety of real-world applications, and
sources of labels. Papers addressing novel types of data, methods of
diagnosing when unlabeled data will help and when it will hinder, and
applying techniques across multiple application domains and multiple
levels of supervision are particularly encouraged. Papers discussing the
acquisition of labels from real-world experts in real-world data mining
problems are also encouraged. Data mining practitioners working on
real-world problems with large amounts of captured/stored data but a
high cost labeling process are encouraged to submit problem descriptions
and possible solutions.
We are soliciting the following types of submissions:
-Regular Papers
-Problem Descriptions from Machine Learning/Data Mining Practitioners
-Debate Position Papers
For more details, please look at
<http://www.accenture.com/techlabs/icmlworkshop2003/>
http://www.accenture.com/techlabs/icmlworkshop2003/
Submissions should be sent by May 5, 2003 as PDF or PostScript files to
Rayid.Ghani at accenture.com.

Organizers
Rayid Ghani
Accenture Technology Labs

Rosie Jones
Overture Services

Chuck Rosenberg
Carnegie Mellon University

Rayid Ghani
Accenture Technology Labs
312-693-6653
www.accenture.com/techlabs/ghani
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