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On learning from noisy and incomplete examples
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Authors:
Scott E. Decatur
Aiken Computation Laboratory, Harvard University, Cambridge, MA
Rosario Gennaro
Laboratory for Computer Science, Massachusetts Institute of Technology, Cambridge, MA
Published in:
· Proceeding
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Pages 353-360
ACM
New York, NY
, USA
©1995
table of contents
ISBN:0-89791-723-5
doi>
10.1145/225298.225341
1995 Article
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· Citation Count: 13
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Tags:
algorithm design and analysis
algorithms
concept learning
design
performance
probabilistic computation
reliability
theory
uncertainty, fuzzy, and probabilistic reasoning
verification
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