"13612","8","archive","353",,,"disk0/00/01/36/12","2016-08-05 12:04:31","2021-08-27 17:41:27","2016-08-05 12:04:31","book_section",,,"show","","","2",,,"Winkelbauer","L.","","","1100","","",,,,,"","","ALEX: automatic learning in expert systems","pub","","","",,,"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","1991","published","IEEE","doi:10.1109/CAIA.1991.120846","http://dx.doi.org/10.1109/CAIA.1991.120846",,,,,"",,,,,"",,,,,"",,,,,"","",,"",,,,,,,"1668","none",,,,,"i",,"Piscataway, NJ, United States","59-62",,,,,,,,,,,"TRUE",,,"Proceedings. The Seventh IEEE Conference on Artificial Intelligence Application",,,,,"","","","",,"","",,,,,,,"",,,,,"FALSE","no",,"info:eu-repo/semantics/bookPart",
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