Results 11 to 20 of about 3,589,847 (248)
Correlations for computation and computation for correlations [PDF]
npj Quantum Information, 2021 AbstractQuantum correlations are central to the foundations of quantum physics and form the basis of quantum technologies. Here, our goal is to connect quantum correlations and computation: using quantum correlations as a resource for computation—and vice versa, using computation to test quantum correlations.
Bülent Demirel +4 more
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SSRN Electronic Journal, 2009 Correlations of equity returns have varied substantially over time and remain a source of continuing policy debate. This paper studies stock market correlations in an equilibrium model with heterogeneous risk aversion. In the model, preference heterogeneity causes variations in the volatility of aggregate risk aversion from good to bad states.
Ehling, P, Heyerdahl-Larsen, C
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The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings., 2003 We consider the following clustering problem: we have a complete graph on n vertices (items), where each edge (u, v) is labeled either + or – depending on whether u and v have been deemed to be similar or different. The goal is to produce a partition of the vertices (a clustering) that agrees as much as possible with the edge labels. That is, we want a
Shuchi Chawla, Avrim Blum, Nikhil Bansal
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Correlation scenarios and correlation stress testing [PDF]
SSRN Electronic Journal, 2021 We develop a general approach for stress testing correlations of financial asset portfolios. The correlation matrix of asset returns is specified in a parametric form, where correlations are represented as a function of risk factors, such as country and industry factors.
Natalie Packham +2 more
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On fits to correlated and auto-correlated data
Computer Physics Communications, 2023 Published by North Holland Publ.
Mattia Bruno, Rainer Sommer
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Scientific Reports, 2014 Increasingly researchers are looking to bring together perspectives across multiple scales, or to combine insights from different techniques, for the same region of interest. To this end, correlative microscopy has already yielded substantial new insights in two dimensions (2D).
Burnett, TL +11 more
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Correlated Initialization for Correlated Data [PDF]
Neural Processing Letters, 2022 Spatial data exhibits the property that nearby points are correlated. This also holds for learnt representations across layers, but not for commonly used weight initialization methods. Our theoretical analysis quantifies the learning behavior of weights of a single spatial filter.
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Quantum Correlation without Classical Correlations [PDF]
Physical Review Letters, 2008 4 pages, no figures; v2: presentation improved, results unchanged, published ...
Kaszlikowski, D. +4 more
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