TY  - CHAP
CY  - Piscataway, NJ, United States
ID  - iiasa13612
UR  - http://dx.doi.org/10.1109/CAIA.1991.120846
A1  - Winkelbauer, L.
A1  - Fedra, K.
Y1  - 1991///
N2  - 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
PB  - IEEE
M1  - i
TI  - ALEX: automatic learning in expert systems
SP  - 59
AV  - none
EP  - 62
T2  - Proceedings. The Seventh IEEE Conference on Artificial Intelligence Application
ER  -