CFP

The Twentieth International Conference on Machine Learning (ICML-2003) will be held in Washington D.C. August 21-24, 2003. The conference will bring together researchers to exchange ideas and report recent progress in the field of machine learning.

TOPICS FOR SUBMISSION ICML-2003 welcomes submissions on all topics related to machine learning. In addition to the topics that traditionally are represented at machine learning conferences, we specifically encourage papers on the following topics:

• Applications of machine learning, particularly:
  1. exploratory research that describes novel learning tasks;
  2. applications that require non-standard techniques or shed light on limitations of existing learning techniques; and
  3. work that investigates the effect of the developers' decisions about problem formulation, representation or data quality on the learning process.
• Analysis of learning algorithms that demonstrate generalization ability and also lead to better understanding of the computational complexity of learning.
• The role of learning in spatial reasoning, motor control, and more generally in the performance of intelligent autonomous agents.
• The discovery of scientific laws and taxonomies, and the induction of structured models from data.
• Computational models of human learning.
• Novel formulations of and insights into data clustering.
• Learning from non-static data sources: incremental induction, on-line learning and learning from data streams.

IMPORTANT DATES
Abstracts due: February 10, 2003
Submissions due: February 14, 2003
Acceptance decisions mailed to authors: April 25, 2003
Camera-ready copies of all accepted papers due: May 16, 2003
Authors of conditionally accepted papers notified: May 23, 2003

ADDITIONAL INFORMATION
For additional information, please see the conference web site:
http://www.hpl.hp.com/conferences/icml2003
which will provide additional details as they become available.