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On a topological criterion to select a recurrence threshold

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020
In this work, a topological criterion is proposed for selecting a recurrence threshold for constructing a recurrence plot of a time series. It is based on a metric structure of the set of the recurrence plots that is defined by the recurrence plot deviation distance among recurrence plots, introduced in a previous paper by the authors.
Ioannis Andreadis   +2 more
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Accelerated recurrent selection

Euphytica, 1999
In Accelerated Recurrent Selection (ARS) schemes, selection is based on the predicted performance of progeny families, estimated as the average of the parental families. These schemes can halve cycle time compared to simple recurrent selection methods.
I.J. Mackay   +3 more
openaire   +1 more source

Is Selective Therapy of Recurrent Nephrolithiasis Possible?

Journal of Urology, 1981
We evaluated, in 128 patients with recurrent nephrolithiasis, the efficacy of special treatment programs for some of the common causes of nephrolithiasis, chosen on the basis of their ability to correct underlying physicochemical and physiologic derangements.
C Y, Pak   +11 more
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Recurrent parotitis in selective IgA deficiency

Pediatric Allergy and Immunology, 2004
Recurrent parotitis is an uncommon condition in children. In most cases the etiology is unknown, although the disease is occasionally associated with viral infections, autoimmune disorders and immunodeficiency. We describe, for the first time, a child with recurrent parotitis and isolated immunoglobulin A (IgA) deficiency, without autoimmune disease ...
Vered, Shkalim   +4 more
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Topological pattern selection in recurrent networks

Neural Networks, 2012
The impact of adding correlation to a population of neurons on the information and the activity of the population is one of the fundamental questions in recent system neuroscience. In this paper, we would like to introduce topology-based correlation at the level of storing patterns in a recurrent network.
Alireza Bahraini, Abdolhossein Abbassian
openaire   +3 more sources

Selective Recurrent Neural Network

Neural Processing Letters, 2012
It is known that recurrent neural networks may have difficulties remembering data over long time lags. To overcome this problem, we propose an extended architecture of recurrent neural networks, which is able to deal with long time lags between relevant input signals.
openaire   +1 more source

Reciprocal recurrent selection in sugarbeet

Field Crops Research, 1978
Abstract Sugarbeet root yield is conditioned by both additive and nonadditive types of gene action. The reciprocal recurrent selection breeding method is designed to aid in simultaneously selecting for both types of gene action and requires that plants be both crossed and selfed.
D.L. Doney, J.C. Theurer
openaire   +1 more source

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