CALL FOR PAPERS ICML 2003 Workshop (Co-located with KDD 2003) The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining (Special emphasis on real-world applications and problems) August 21, 2003. Washington, DC.
http://www.accenture.com/techlabs/icmlworkshop2003/ Organizers: Rayid Ghani, Accenture Technology Labs, [EMAIL PROTECTED] Rosie Jones, Overture Services, [EMAIL PROTECTED] Chuck Rosenberg, Carnegie Mellon University,[EMAIL PROTECTED] 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. Workshop Format: The workshop will consist of both regular paper presentations, and debates. Regular Papers: Regular papers can be up to eight pages, and may address work in progress. Problem Descriptions from Machine Learning/Data Mining Practitioners: 1-2 pages describing a problem domain you have encountered or dealt with where training data and/or labels are very expensive or hard to obtain. The paper would present a problem statement, give background on the domain, and list sources and amount of available training data. We hope to devote a session in the workshop to discuss these problems and brainstorm possible solutions and ways to use unlabeled data for the problems posed in these papers. Debate Position Papers Two-page position papers on either side of the following topics are solicited. Accepted papers will be published in the workshop proceedings, and authors will be expected to debate their position. Topics not on this list are also acceptable, if you can coherently argue both sides, or can encourage a colleague to submit the opposing position. Submissions should be sent by May 1, 2003 as PDF or PostScript files to [EMAIL PROTECTED] For more details, see http://www.accenture.com/techlabs/icmlworkshop2003 This message is for the designated recipient only and may contain privileged, proprietary, or otherwise private information. If you have received it in error, please notify the sender immediately and delete the original. Any other use of the email by you is prohibited.
