Non-Cumulative Learning in METAXA.3
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Knowledge Acquisition. Pages 208-209.
Abstract
Knowledge revision in incremental learning systems will usually be restricted by some external criteria to achieve a conservative behavior of the system. Unfortunately, conservatism has some well known drawbacks. Therefore, it can become necessary to drop these restrictions and to change over to a non-cumulative learning mode. In this paper the incremental learning system METAXA.3 is described which is able to perform a special kind of noncumulative knowledge revision enabling it to learn without requiring unrestricted resources or the absence of noisy data. The generalization approach is sketched and knowledge revision in METAXA.3 is described.
@inproceedings{ijcai1987p41,
title = {Non-Cumulative Learning in METAXA.3},
author = {Emde, Werner},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {208--209},
year = {1987},
note = {Knowledge Acquisition},
url = {https://ijcai.org/proceedings/1987/41},
}
TY - CPAPER TI - Non-Cumulative Learning in METAXA.3 AU - Emde, Werner T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 208 EP - 209 UR - https://ijcai.org/proceedings/1987/41 ER -Copied
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