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Title:

Computing Cost-Optimal Definitely Discriminating Tests

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Anika Schumann, Jinbo Huang, Martin Sachenbacher
Abstract:
The goal of testing is to discriminate between multiple hypotheses about a system - for example, different fault diagnoses - by applying input patterns and verifying or falsifying the hypotheses from the observed outputs. Definitely discriminating tests (DDTs) are those input patterns that are guaranteed to discriminate between different hypotheses of non-deterministic systems. Finding DDTs is important in practice, but can be very expensive. Even more challenging is the problem of finding a DDT...     »
Editor:
AAAI Publications
Book / Congress title:
Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2010)
Year:
2010
Language:
en
Format:
Text
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