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Abstract: This paper is concerned with alleviating the choice of learning biases via a two-step process: \Gamma The set of all hypotheses that are consistent with the data and cover at least one training example, is given an implicit characterization of polynomial complexity. The only bias governing this induction phase is that of the language of hypotheses. \Gamma Classification of further examples is done via interpreting this implicit theory; the interpretation mechanism allows one to relax the... (Update)
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BibTeX entry: (Update)
M. Sebag. Delaying the choice of bias: A disjunctive version space approach. In L. Saitta, editor, Proceedings of the 13 th International Conference on Machine Learning, pages 444--452. Morgan Kaufmann, 1996. http://citeseer.ist.psu.edu/sebag96delaying.html More
@inproceedings{ sebag96delaying,
author = "Michele Sebag",
title = "Delaying the Choice of Bias: A Disjunctive Version Space Approach",
booktitle = "International Conference on Machine Learning",
pages = "444-452",
year = "1996",
url = "citeseer.ist.psu.edu/sebag96delaying.html" }
Citations (may not include all citations):2177 Programs for Machine Learning (context) - Quinlan - 1993
667 UCI Repository of machine learning databases (context) - Murphy, Aha - 1995
392 A theory and methodology of inductive learning (context) - Michalski - 1983
313 Inductive logic programming: Theory and methods - Muggleton, De Raedt - 1994
274 Generalization as search (context) - Mitchell - 1982
216 Very simple classification rules perform well on most common.. (context) - Holte - 1993
149 Quantifying inductive bias : AI learning algorithms and Vali.. (context) - Haussler - 1988
130 Inverse entailment and PROGOL - Muggleton - 1995
130 Refinement of approximate domain theories by knowledge-based.. - Towell, Shavlik - 1990
31 The power of decision tables - Kohavi - 1995
30 Polynomial-time learning with version spaces - Hirsh - 1992
29 Constraint inductive logic programming - Sebag, Rouveirol - 1996
28 SIA : A supervised inductive algorithm with genetic search f.. (context) - Venturini - 1993
25 Induction in noisy domains - Clark, Niblett - 1987
20 A multistrategy learning tool (context) - Botta, Giordana - 1993
15 TDIS: An algebraic formalization - Ganascia - 1993
12 Using constraints to building version spaces - Sebag - 1994
8 On learning decision committees (context) - Nok, Gascuel - 1995
4 Classifier learning from noisy data as probabilistic evidenc.. - Norton, Hirsh - 1992
4 nd order understandability of disjunctive version spaces - Sebag - 1995
2 Classification and Regression by tree (context) - Breiman, Friedman et al. - 1984
2 Learning DNF Via Probabilistic Evidence Combination (context) - Norton, Hirsh - 1993
2 M'ethodes symboliques-num'eriques de discrimination (context) - Gascuel, Gallinari - 1995
1 Learning disjunctive concepts (context) - Manago, Blythe - 1989
1 Katholieke Universiteit Leuven (context) - Sablon - 1995
The graph only includes citing articles where the year of publication is known.
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