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On a topological criterion to select a recurrence threshold
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020In 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, 1999In 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
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Is Selective Therapy of Recurrent Nephrolithiasis Possible?
Journal of Urology, 1981We 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, 2004Recurrent 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, 2012The 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
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Selective Recurrent Neural Network
Neural Processing Letters, 2012It 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.
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Reciprocal recurrent selection in sugarbeet
Field Crops Research, 1978Abstract 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
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