Results 11 to 20 of about 5,601,682 (347)
Macroeconomic forecasting using model averaging [PDF]
, 2009 PhDRecently, there has been a broadening concern on forecasting techniques that are applied on large data sets, since economists in business and management want to deal with the great magnitude of information. In this analysis, the issue of forecasting
Verra, Christina
core +4 more sources
On the Tortuosity-Connectivity of Cement-Based Porous Materials
Applied Sciences, 2021 In this work, the transport equations of ionic species in concrete are studied. First, the equations at the porescale are considered, which are then averaged over a representative elementary volume.
Michiel Fenaux +4 more
doaj +1 more source
2011 IEEE International Symposium on Information Theory Proceedings, 2011 We are interested in the following question: given n numbers x[subscript 1], ..., x[subscript n], what sorts of approximation of average x[subscript ave] = 1overn (x[subscript 1] + ... + x[subscript n]) can be achieved by knowing only r of these n numbers. Indeed the answer depends on the variation in these n numbers.
Bodas, Shreeshankar, Shah, Devavrat
openaire +4 more sources
Wormholes without averaging [PDF]
Journal of High Energy Physics, 2021 After averaging over fermion couplings, SYK has a collective field description that sometimes has “wormhole” solutions. We study the fate of these wormholes when the couplings are fixed. Working mainly in a simple model, we find that the wormhole saddles
Phil Saad +3 more
semanticscholar +1 more source
Mathematics, 2021 Typically stochastic differential equations (SDEs) involve an additive or multiplicative noise term. Here, we are interested in stochastic differential equations for which the white noise is nonlinearly integrated into the corresponding evolution term ...
Haralampos Hatzikirou +2 more
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Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning [PDF]
AAAI Conference on Artificial Intelligence, 2018 In distributed training of deep neural networks, parallel minibatch SGD is widely used to speed up the training process by using multiple workers. It uses multiple workers to sample local stochastic gradients in parallel, aggregates all gradients in a ...
Hao Yu, Sen Yang, Shenghuo Zhu
semanticscholar +1 more source
Karpatsʹkì Matematičnì Publìkacìï, 2020 Let $f$ be an entire function of order $\rho\in (0,+\infty)$ with zeros on a finite system of rays $\{z: \arg z=\psi_{j}\}$, $j\in\{1,\ldots,m\}$, $0\le ...
R.V. Khats'
doaj +1 more source
First steps towards the averaging with respect to a part of the coordinates [PDF]
Theoretical and Applied MechanicsThe problem of averaging on an infinite time interval is considered. The classical results on averaging proved by N.N. Bogoluybov are generalized to the case in which only a part of the coordinates in the phase space remains close to the ...
Polekhin Ivan
doaj +1 more source
Genome Biology, 2002 BackgroundGene-expression analysis is increasingly important in biological research, with real-time reverse transcription PCR (RT-PCR) becoming the method of choice for high-throughput and accurate expression profiling of selected genes.
J. Vandesompele +6 more
semanticscholar +1 more source
Averaging over Narain moduli space [PDF]
Journal of High Energy Physics, 2020 Recent developments involving JT gravity in two dimensions indicate that under some conditions, a gravitational path integral is dual to an average over an ensemble of boundary theories, rather than to a specific boundary theory.
A. Maloney, E. Witten
semanticscholar +1 more source