relation: https://pure.iiasa.ac.at/id/eprint/13612/
title: ALEX: automatic learning in expert systems
creator: Winkelbauer, L.
creator: Fedra, K.
description: An environment for automatic learning (ALEX) has been designed and implemented in a modular fashion. The system consists of an example generation module (i.e., tutor software system representing the application domain); the learning subsystem; an analysis component; and the user interface and control structure integrating these components. As the core of the learning subsystem the incremental learning algorithm ID-H has been developed, based on the incremental application of hybrid clustering. To improve the overall performance of the learning environment, a feedback loop between the results of a learning step and the input of the next learning step has been introduced. The learning environment can automatically direct its learning strategy according to its assessment of its performance
publisher: IEEE
date: 1991
type: Book Section
type: PeerReviewed
identifier:   Winkelbauer, L. <https://pure.iiasa.ac.at/view/iiasa/1668.html> & Fedra, K. <https://pure.iiasa.ac.at/view/iiasa/1241.html>  (1991).  ALEX: automatic learning in expert systems.    In:  Proceedings. The Seventh IEEE Conference on Artificial Intelligence Application.  pp. 59-62 Piscataway, NJ, United States: IEEE.  10.1109/CAIA.1991.120846 <https://doi.org/10.1109/CAIA.1991.120846>.     
relation: http://dx.doi.org/10.1109/CAIA.1991.120846
relation: doi:10.1109/CAIA.1991.120846
identifier: doi:10.1109/CAIA.1991.120846