Machine Learning: ECML-93
European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993. Proceedings
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Beschreibung
This volume contains the proceedings of the Eurpoean
Conference on Machine Learning (ECML-93), continuing the
tradition of the five earlier EWSLs (European Working
Sessions on Learning). The aim of these conferences is to
provide a platform for presenting the latest results in the
area of machine learning.
The ECML-93 programme included invited talks, selected
papers, and the presentation of ongoing work in poster
sessions. The programme was completed by several workshops
on specific topics. The volume contains papers related
to all these activities.
The first chapter of the proceedings contains two invited
papers, one by Ross Quinlan and one by Stephen Muggleton on
inductive logic programming. The second chapter contains 18
scientific papers accepted for the main sessions of the
conference. The third chapter contains 18 shorter position
papers. The final chapter includesthree overview papers
related to the ECML-93 workshops.
Autor*in
Pavel B. Brazdil
Themen in »Machine Learning: ECML-93«
Genetic Algorithms Genetische Algorithmen Inductive Learning Inductive Loigic Induktives Lernen Induktives Logisches Programmieren Learnability Lernbarkeit complexity complexity theory heuristics learning machine learning programming proving