Results 1 to 10 of about 1,458,619 (118)
R\'enyi Divergence and Kullback-Leibler Divergence [PDF]
IEEE Transactions on Information Theory, 2013 R\'enyi divergence is related to R\'enyi entropy much like Kullback-Leibler divergence is related to Shannon's entropy, and comes up in many settings.
Harremoës, Peter, van Erven, Tim
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ACM Transactions on Programming Languages and Systems, 2013 Growing interest in graphics processing units has brought renewed attention to the Single Instruction Multiple Data (SIMD) execution model. SIMD machines give application developers tremendous computational power; however, programming them is still challenging. In particular, developers must deal with memory and control-flow divergences.
Sampaio, Diogo +3 more
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Divergence? What Divergence? [PDF]
Intereconomics, 2019 The joint Intereconomics/CEPS conference focused on income convergence among EU countries and within specific countries like Germany and Italy. I would like to first caution about overinterpreting these results and then look at other divergences within the Eurozone, which I regard as much more important.
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Information and Computation, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lohrey, Markus +2 more
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Divergent selection and heterogeneous genomic divergence [PDF]
Molecular Ecology, 2009 AbstractLevels of genetic differentiation between populations can be highly variable across the genome, with divergent selection contributing to such heterogeneous genomic divergence. For example, loci under divergent selection and those tightly physically linked to them may exhibit stronger differentiation than neutral regions with weak or no linkage ...
Nosil, Patrik +2 more
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Physical Review Letters, 2001 5 pages, 3 figures. V3: as will appear in Phys. Rev.
Le Coq, Yann +7 more
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Weighted contrastive divergence [PDF]
Neural Networks, 2019 Learning algorithms for energy based Boltzmann architectures that rely on gradient descent are in general computationally prohibitive, typically due to the exponential number of terms involved in computing the partition function. In this way one has to resort to approximation schemes for the evaluation of the gradient.
Romero Merino, Enrique +3 more
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Divergence Network: Graphical calculation method of divergence functions
, 2018 In this paper, we introduce directed networks called `divergence network' in order to perform graphical calculation of divergence functions. By using the divergence networks, we can easily understand the geometric meaning of calculation results and grasp
Nishiyama, Tomohiro
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Calibrated Tree Priors for Relaxed Phylogenetics and Divergence Time Estimation [PDF]
, 2011 The use of fossil evidence to calibrate divergence time estimation has a long history. More recently Bayesian MCMC has become the dominant method of divergence time estimation and fossil evidence has been re-interpreted as the specification of prior ...
Alexei J. Drummond +13 more
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Information Measures: the Curious Case of the Binary Alphabet
, 2014 Four problems related to information divergence measures defined on finite alphabets are considered. In three of the cases we consider, we illustrate a contrast which arises between the binary-alphabet and larger-alphabet settings.
Courtade, Thomas +4 more
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