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Efficient Heuristic Hypothesis RankingThis paper considers the problem of learning the ranking of a set of stochastic alternatives based upon incomplete information (i.e., a limited number of samples).
Document ID
20210003548
Acquisition Source
Jet Propulsion Laboratory
Document Type
Other
External Source(s)
hdl:2014/17610
Authors
Mutz, D.
Stechert, A.
Chien, S.
Date Acquired
June 1, 1999
Publication Date
June 1, 1999
Publication Information
Publisher: UNKNOWN
Distribution Limits
Public
Copyright
Other
Technical Review
Keywords
machine
learning
hypothesis
ranking
hypothesis
selection
incomplete
information
learning
stochastic
alternatives

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