Results 51 to 60 of about 128,370 (210)
Duality of Maximum Entropy and Minimum Divergence
We discuss a special class of generalized divergence measures by the use of generator functions. Any divergence measure in the class is separated into the difference between cross and diagonal entropy. The diagonal entropy measure in the class associates
Shinto Eguchi +2 more
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Generalized Maximum Entropy for Supervised Classification [PDF]
Santiago Mazuelas +2 more
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Maximum Entropy and Moment Problems
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Maximum entropy estimated distribution methodology for clustering and classification
Ling Tan
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Objective Bayesianism and the Maximum Entropy Principle
Objective Bayesian epistemology invokes three norms: the strengths of our beliefs should be probabilities; they should be calibrated to our evidence of physical probabilities; and they should otherwise equivocate sufficiently between the basic ...
Jon Williamson, Jürgen Landes
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Maximum Entropy Learning with Deep Belief Networks
Conventionally, the maximum likelihood (ML) criterion is applied to train a deep belief network (DBN). We present a maximum entropy (ME) learning algorithm for DBNs, designed specifically to handle limited training data.
Payton Lin +4 more
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Zipf's law, power laws and maximum entropy
Zipf's law, and power laws in general, have attracted and continue to attract considerable attention in a wide variety of disciplines—from astronomy to demographics to software structure to economics to linguistics to zoology, and even warfare.
Matt Visser
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Maximizing Diversity in Biology and Beyond
Entropy, under a variety of names, has long been used as a measure of diversity in ecology, as well as in genetics, economics and other fields. There is a spectrum of viewpoints on diversity, indexed by a real parameter q giving greater or lesser ...
Tom Leinster, Mark W. Meckes
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