Call for Papers
THE SEVENTEENTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING
June 29-July 2, 2000
Stanford University
The Seventeenth International Conference on Machine Learning (ICML-2000)
will be held at Stanford University from June 29 to July 2, 2000, in the
heart of Silicon Valley. The conference will bring together researchers
to exchange ideas and report recent progress in the computational study
of learning.
Topics for Submission
ICML-2000 welcomes submissions on all facets of machine learning, but
especially solicits papers on problem areas, research topics, learning
paradigms, and approaches to evaluation that have been rare at recent
conferences, including:
- the role of learning in natural language, vision and speech, planning
and scheduling, design and configuration, logical and spatial reasoning,
motor control, and more generally on learning for performance tasks
carried out by intelligent agents;
- the discovery of scientific laws and taxonomies, the construction of
componential and structural models, and learning at multiple levels
of temporal and spatial resolution;
- the effect of the developers' decisions about problem formulation,
representation, data quality, and reward function on the learning
process;
- computational models of human learning, applications to real-world
problems, exploratory research that describes novel learning tasks,
work that integrates familiar methods to demonstrate new functionality,
and agent architectures in which learning plays a central role;
- empirical studies that combine natural data (to show relevance) with
synthetic data (to understand conditions on behavior), along with formal
analyses that make contact with empirical results, especially where the
aim is to identify sources of power, rather than to show one method is
superior to others.
Naturally, we also welcome submissions on traditional topics, ranging
from induction over supervised data to learning from delayed rewards, but
we hope the conference will also attract contributions on the issues above.
Paper Submission
Authors should submit papers using same format and length as the final
proceedings version. The detailed instructions for authors at
http://www-csli.stanford.edu/icml2k/instructions.html
Other Conference Information
The Seventeenth International Conference on Machine Learning will be
collocated with the Thirteenth Annual Conference on Computational
Learning Theory (COLT-2000) and the Sixteenth Conference on Uncertainty
in Artificial Intelligence (UAI-2000). Registrants to any of these
meetings will be able to attend the technical sessions of the others
at no additional cost.
ICML-2000 will also be preceded by tutorials on various facets of
machine learning. For additional information, see the web site for
the conference at
http://www-csli.stanford.edu/icml2k/
which will provide additional details as they become available. If
you have questions about ICML-2000, please send electronic mail to
icml2k@csli.stanford.edu.
The conference has received support from DaimlerChrysler Research and
Technology, Stanford's Center for the Study of Language and Information
(CSLI), and the Institute for the Study of Learning and Expertise (ISLE).
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