(Enter summary)
Abstract: In this paper we advocate a learning method where a deductive
and an inductive strategies are combined to efficiently learn control
knowledge. The approach consists of initially bounding the explanation
to a predetermined set of problem solving features. Since there is no
proof that the set is sufficient to capture the correct and complete explanation
for the decisions, the control rules acquired are then refined,
if and when applied incorrectly to new examples. The method is especially... (Update)
Context of citations to this paper: More
...the learned knowledge through experiencing positive and negative examples. We have described different aspects of hamlet s procedures in [1, 2]. hamlet is an ongoing research project. In this talk, we describe the multiple learning opportunities that hamlet addresses in the...
...that goal . Unfortunately, the impossibility theory is domain specific and each new domain requires a new one. 2.2. 3 HAMLET HAMLET[4] learns PRODIGY select rules for the different types of choice points found in NOLIMIT[20] PRODIGY s non linear problem solver. HAMLET...
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BibTeX entry: (Update)
Borrajo, D. and Veloso, M. (1994b). Incremental learning of control knowledge for nonlinear problem solving. In Proceedings of the European Conference on Machine Learning, ECML-94, pages 64--82. http://citeseer.ist.psu.edu/article/borrajo94incremental.html More
@inproceedings{ borrajo94incremental,
author = "Daniel Borrajo and Manuela Veloso",
title = "Incremental Learning of Control Knowledge for Nonlinear Problem Solving",
booktitle = "Proceedings of the European Conference on Machine Learning",
publisher = "Springer Verlag",
address = "Sicily, Italy",
pages = "64--82",
year = "1994",
url = "citeseer.ist.psu.edu/article/borrajo94incremental.html" }
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