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Abstract: One of the "grand challenges for machine learning" is the problem of learning from textbooks. This paper addresses the problem of learning from texts including omissions and inconsistencies that are clarified by illustrative examples. To avoid problems in natural language understanding, we consider a simplification of this problem in which the text has been manually translated into a logical theory. This learning problem is solvable by a technique that we call analogical abductive explanation... (Update)
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...techniques are a surprisingly general way of making use of background knowledge. 1 INTRODUCTION Several recent papers [ Cohen, 1990b; Flann and Dietterich, 1989 ] have presented learning systems that use as background knowledge an initial domain theory that is...
.... for R is a recursive theory, as in [ Shavlik, 1990 ] rules are used to construct a new theory that better models the data, as in [Cohen, 1990b] then they will be inaccurate. How can one state formally that Strawman 1 generalizes too aggressively Let us borrow a page from...
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BibTeX entry: (Update)
WilliamW. Cohen. Learning from textbook knowledge: A case study. In Proceedings of the Eighth National Conference on Artificial Intelligence, Boston, Massachusetts, 1990. MIT Press. http://citeseer.ist.psu.edu/cohen90learning.html More
@inproceedings{ cohen90learning,
author = "William W. Cohen",
title = "Learning from Textbook Knowledge: {A} Case Study",
booktitle = "Proceedings of the 8th National Conference on Artificial Intelligence",
publisher = "MIT Press",
address = "Boston, Massachusetts",
year = "1990",
url = "citeseer.ist.psu.edu/cohen90learning.html" }
Citations (may not include all citations):26 Learning one subprocedure per lesson (context) - VanLehn - 1987
22 Incremental version space merging: A general framework for c.. (context) - Hirsh - 1989
21 Induction in abstraction spaces: A form of constructive indu.. (context) - Drastal, Czako et al. - 1989
20 Abductive explanation based learning: A solution to the mult.. - Cohen - 1989
13 ARGO: An analogical reasoning system for solving design prob.. (context) - Huhns, Acosta - 1987
4 Learning from plausible explanations (context) - Fawcett - 1989
3 Weeks to Winning Bridge (context) - Sheinwold - 1964
3 Formulating concepts according to purpose (context) - Kedar-Cabelli - 1987
2 Active explanation reduction: An approach to the multiple ex.. (context) - Rajamoney, DeJong - 1988
2 Automated abduction and machine learning (context) - O'Rorke - 1988
2 Selecting the best explanation in explanation-based learning (context) - Pazzani - 1988
The graph only includes citing articles where the year of publication is known.
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