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• W2112732827 abstract "We discuss the recent developments in probabilistic relaxation techniques which are used as a tool for contextual sensory data interpretation. The successes of a range of applications of probabilistic relaxation reported in the literature are briefly reviewed. We show that the implementation of a probabilistic relaxation process by means of multilayer perceptron computation has implications on the neural net design methodology. Further, the relationship of probabilistic relaxation to the Hough transform is exposed.KeywordsBinary RelationMachine IntelligenceLabel ProbabilityMultilayer PerceptronReference NodeThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
• W2112732827 created "2016-06-24" @default.
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• W2112732827 date "1997-01-01" @default.
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• W2112732827 title "Probabilistic relaxation: Potential, relationships and open problems" @default.
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• W2112732827 doi "https://doi.org/10.1007/3-540-62909-2_93" @default.
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