Learnability and the Vapnik-Chervonenkis dimension.
Anselm Blumer, Andrzej Ehrenfeucht, David Haussler, Manfred K. Warmuth:
Learnability and the Vapnik-Chervonenkis dimension.
J. ACM 36(4): 929-965(1989)@article{DBLP:journals/jacm/BlumerEHW89,
author = {Anselm Blumer and
Andrzej Ehrenfeucht and
David Haussler and
Manfred K. Warmuth},
title = {Learnability and the Vapnik-Chervonenkis dimension},
journal = {J. ACM},
volume = {36},
number = {4},
year = {1989},
pages = {929-965},
ee = {db/journals/jacm/BlumerEHW89.html, http://doi.acm.org/10.1145/76359.76371},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
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- Michael Benedikt, Leonid Libkin:
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- Yasuhiko Morimoto, Takeshi Fukuda, Hirofumi Matsuzawa, Takeshi Tokuyama, Kunikazu Yoda:
Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases.
VLDB 1998: 380-391
- Se June Hong:
Use of Contextaul Information for Feature Ranking and Discretization.
IEEE Trans. Knowl. Data Eng. 9(5): 718-730(1997)
- Se June Hong:
R-MINI: An Iterative Approach for Generating Minimal Rules from Examples.
IEEE Trans. Knowl. Data Eng. 9(5): 709-717(1997)
- Xiao-Jia M. Zhou, Tharam S. Dillon:
Theoretical and Practical Considerations of Uncertainty and Complexity in Automated Knowledge Acquisition.
IEEE Trans. Knowl. Data Eng. 7(5): 699-712(1995)
- Shaibal Roy:
Semantic Complexity of Classes of Relational Queries and Query Independent Data Partitioning.
PODS 1991: 259-267
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by Michael Ley (ley@uni-trier.de)