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Titlebook: Machine Learning Control by Symbolic Regression; Askhat Diveev,Elizaveta Shmalko Book 2021 The Editor(s) (if applicable) and The Author(s)

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ividualisierung von Unterricht. Entsprechend müssen Lehrende ihr tägliches Vorgehen auch in Bezug auf geeignetes Feedback überdenken. Die erhöhte Selbstregulation der Lerner verursacht dabei ein Spannungsfeld zwischen Instruktion und Autonomie. Wie Lehrende sich hier verorten, hängt u. a. von ihrer
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A Novel HVS Based Gray Scale Image Watermarking Scheme Using Fast Fuzzy-ELM Hybrid Architecture,ting the Fuzzy Inference System (FIS) by taking into account luminance sensitivity, edge sensitivity and contrast sensitivity. The output of the FIS is a single output known as weighing factor (WF). A dataset is prepared using the image coefficients and the WF. A fast neural network known as extreme
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Blood and Bone Marrow Products in the Treatment of Radiation Injurylities, equipment, blood, and blood products for treating individuals exposed to radiation. The proper diagnosis and treatment of individuals exposed to radiation depend on methods used to detect the type and magnitude of radiation exposure, to decontaminate both the individuals and the environment
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Scope, Position and Sequence,ysis are used to provide insights into the competing forces that haunt and contradict simplistic positivist accounts of contemporary school leadership and to reveal the presence of a political struggle for the soul of the principal in this neoliberal era.
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Phospholipids as Basic Ingredients deposition of minerals, lipofuscin, etc.). Another aspect in this connection is the .. Aerobic capacity declines with ageing (Robinson 1936, Åstrand and Rodahl 1970, Hollman 1963, Davies 1972 etc.). Here in particular an important part is played by muscular tissue where the intensity of metabolic p
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