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Abstract: In this paper, we demonstrate how different forms of background knowledge can be integrated with an inductive method for generating constant-free Horn clause rules. Furthermore, we evaluate, both theoretically and empirically, the effect that these types of knowledge have on the cost of learning a rule and on the accuracy of a learned rule. Moreover, we demonstrate that a hybrid explanation-based and inductive learning method can advantageously use an approximate domain theory, even when this... (Update)
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BibTeX entry: (Update)
M. Pazzani and D. Kibler, The Utility of Knowledge in Inductive Learning, Machine Learning 9 (1992) 57--94. http://citeseer.ist.psu.edu/pazzani92utility.html More
@article{ pazzani92utility,
author = "Michael J. Pazzani and Dennis F. Kibler",
title = "The Utility of Knowledge in Inductive Learning",
journal = "Machine Learning",
volume = "9",
pages = "57-94",
year = "1992",
url = "citeseer.ist.psu.edu/pazzani92utility.html" }
Citations (may not include all citations):492 Learning logical definitions from relations (context) - Quinlan - 1990
349 Knowledge acquisition via incremental conceptual clustering (context) - Fisher - 1987
278 Depth-first iterative-deepening: An optimal admissible tree .. (context) - Korf - 1985
154 Machine invention of first-order predicates by inverting res.. (context) - Muggleton, Buntine - 1988
147 Boolean feature discovery in empirical learning (context) - Pagallo, Haussler - 1990
55 Pattern recognition as rule-guided inductive inference (context) - Michalski - 1980
36 A knowledge intensive approach to concept induction (context) - Bergadano, Giordana - 1988
30 Explanation-based learning: A unifying view (context) - Mitchell, Keller et al. - 1986
22 Detecting and correcting errors in rule-based expert systems.. - Pazzani, Brunk - 1990
20 Abductive explanation-based learning: A solution to the mult.. - Cohen - 1990
20 Iterative broadening - Ginsberg, Harvey - 1990
11 Induction over the unexplained: Integrated learning of conce.. (context) - Mooney, Ourston - 1989
10 Finding new rules for incomplete theories: Explicit biases f.. (context) - Danyluk - 1989
10 Creating a memory of causal relationships: An integration of.. (context) - Pazzani - 1990
9 Integrated learning: Controlling explanation (context) - Lebowitz - 1986
8 Combining empirical and analytical learning with version spa.. (context) - Hirsh - 1989
5 Learning relations: Comparison of a symbolic and a connectio.. (context) - Quinlan - 1989
4 Induction of decision trees (context) - the, Knowledge et al. - 1986
4 Combining explanation-based learning and artificial neural n.. (context) - Shavlik, Towell - 1989
3 Deduction in top-down inductive learning (context) - Bergadano, Giordana et al. - 1989
3 Proceedings of the Sixth International Workshop on Machine L.. (context) - the, Workshop et al. - 1989
2 A study of explanation-based methods for inductive learning (context) - Learning, Flann et al. - 1989
1 Chaining the rules: A comprehensive approach to theory refin.. (context) - Ourston, Mooney - 1990
1 Incremental knowledge-intensive learning: A case study based.. (context) - Widmer - 1990
1 Explanation-based learning with weak domain theories (context) - Learning, Pazzani - 1989
1 One-sided algorithms for integrating empirical and explanati.. - Sarrett, Pazzani - 1989
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