Results 21 to 30 of about 9,871,334 (304)
Descriptor extraction on inherent creep strength of carbon steel by exhaustive search
Science and Technology of Advanced Materials: Methods, 2021 The alloying elements that control the creep rupture life of low carbon steel in the region of inherent creep strength were investigated by a data-driven model selection method. The experimental data published in NRIM Creep Data Sheet No. 7B was used.
Junya Sakurai +5 more
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Statistical learning in children with a family risk of dyslexia [PDF]
, 2022 The assumption that statistical learning is affected in dyslexia has generally been evaluated in children and adults with diagnosed dyslexia, not in pre-literate children with a family risk (FR) of dyslexia.
Verhagen, Josje +7 more
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Explainable features responsible for the high or low spread of SARS-CoV-2: Africa in view
Scientific African, 2022 The low spread of the global pandemic in Africa has raised concerns. Consequently, many commentators have misconstrued concerns suspecting weather, and immunity to be prime reasons.
Olalekan J. Akintande +3 more
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Reading as Statistical Learning [PDF]
Language, Speech, and Hearing Services in Schools, 2018 Purpose The purpose of this tutorial is to explain how learning to read can be thought of as learning statistical regularities and to demonstrate why this is relevant for theory, modeling, and practice. This tutorial also shows how triangulation of methods and cross-linguistic research can be used to gain insight.
openaire +2 more sources
Infant Statistical Learning [PDF]
Annual Review of Psychology, 2018 Perception involves making sense of a dynamic, multimodal environment. In the absence of mechanisms capable of exploiting the statistical patterns in the natural world, infants would face an insurmountable computational problem. Infant statistical learning mechanisms facilitate the detection of structure.
Jenny R, Saffran, Natasha Z, Kirkham
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Error scaling laws for kernel classification under source and capacity conditions
Machine Learning: Science and Technology, 2023 In this manuscript we consider the problem of kernel classification. While worst-case bounds on the decay rate of the prediction error with the number of samples are known for some classifiers, they often fail to accurately describe the learning curves ...
Hugo Cui +3 more
doaj +1 more source
Journal of Intelligence, 2022 Competency in skills associated with collaborative problem solving (CPS) is critical for many contexts, including school, the workplace, and the military.
Jessica Andrews-Todd +3 more
doaj +1 more source
Statistical learning of movement [PDF]
Journal of Vision, 2016 The environment is dynamic, but objects move in predictable and characteristic ways, whether they are a dancer in motion, or a bee buzzing around in flight. Sequences of movement are comprised of simpler motion trajectory elements chained together. But how do we know where one trajectory element ends and another begins, much like we parse words from ...
Joan Danielle Khonghun, Ongchoco +2 more
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Rethinking statistical learning theory: learning using statistical invariants [PDF]
Machine Learning, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vladimir Vapnik, Rauf Izmailov
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High-dimensional statistical learning: Roots, justifications, and potential machineries [PDF]
, 2016 High-dimensional data generally refer to data in which the number of variables is larger than the sample size. Analyzing such datasets poses great challenges for classical statistical learning because the finite-sample performance of methods developed ...
Zollanvari, Amin, Amin Zollanvari
core +1 more source