CFP

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/

Organizers:
Rayid Ghani, Accenture Technology Labs, rayid.ghani@accenture.com
Rosie Jones, Overture Services, rosie.jones@overture.com
Chuck Rosenberg, Carnegie Mellon University,chuck@cs.cmu.edu

Papers Due: May 1, 2003

Workshop Description: 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. 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.

For more details, see http://www.accenture.com/techlabs/icmlworkshop2003