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Problems with visual statistical learning in developmental dyslexia

by Sigurdardottir, Heida Maria, Daníelsdóttir, Hilda Björk, Guðmundsdóttir, Margrét, Hjartarson, Kristján Helgi, Þórarinsdóttir, Elín Ástrós, Kristjansson, Arni
Published in Scientific Reports (2017)
“... recognition. Responses of these brain regions are shaped by visual statistical learning. If such learning...”

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2

Statistical learning of climate for large ensemble ice sheet simulations

by Robel, Alex
Published 2021

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3

Statistical learning for train delays and influence of winter climate and atmospheric icing

by Wang, Jianfeng, Nakhai, Roberto Mantas, Yu, Jun
Published 2022
“...-speed passenger trains in northern Sweden. Novel statistical learning approaches, including...”

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4

The Application of Statistical Learning Techniques to Studying Arctic Sea Ice Survivability

by Tooth, Matthew Nathaniel
Published 2018
“... in conjunction with several statistical learning classifiers to determine the optimal technique for predicting...”

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5

Statistical learning for train delays and influence of winter climate and atmospheric icing

by Wang, Jianfeng, Nakhai, Roberto Mantas, Yu, Jun
Published 2022
“...-speed passenger trains in northern Sweden. Novel statistical learning approaches, including...”

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Text
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6

Statistical learning methods as a basis for skillful seasonal temperature forecasts in Europe

by Kämäräinen, Matti, Uotila, Petteri, Karpechko, Alexey, Hyvärinen, Otto, Lehtonen, Ilari, Räisänen, Jouni
Published in Journal of Climate (2019)
“...A statistical learning approach to produce seasonal temperature forecasts in western Europe...”

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7

Expectancy in Sami Yoiks revisited: The role of data-driven and schema-driven knowledge in the formation of melodic expectations

by Eerola, Tuomas, Louhivuori, Jukka, Lebaka, Edward
Published 2009
Subjects: “...statistical learning...”

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8

Using statistical learning approaches to understand trends and variability of tornadoes across the continental United States

by Nouri, Niloufar
Published 2020
Subjects: “...Statistical Learning...”

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Doctoral or Postdoctoral Thesis
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9

Representing color and orientation ensembles: Can observers learn multiple feature distributions?

by Hansmann-Roth, Sabrina, Chetverikov, Andrey, Kristjansson, Arni
Published in Journal of Vision (2019)
Subjects: “...Statistical learning...”

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10

Statistical inference of exogenous and endogenous information propagation in social networks.

by Piškorec, Matija
Published 2019
Subjects: “...statistical learning...”

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Doctoral or Postdoctoral Thesis
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11

Reconstructing climatic modes of variability from proxy records: sensitivity to the methodological approach

by Michel, Simon, Swingedouw, Didier, Chavent, Marie, Ortega, Pablo, Mignot, Juliette, Khodri, Myriam
Published 2018
“.... Reconstructing these modes further back in time using statistical learning methods applied to proxy records is a...”

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12

Topics in Functional Data Analysis

by Mallik, Abhirup
Published 2017
“... Bayesian model for application in medical imaging data. We then consider the problem of statistical...”

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Thesis
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13

Ensembles of wrappers for automated feature selection in fish age classification

by Bermejo Sánchez, Sergi
Published in Computers and Electronics in Agriculture (2017)
“... for different powerful statistical learning classifiers. The subsets based on few features selected, e.g...”

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14

Low-Resource Active Learning of Morphological Segmentation

by Grönroos, Stig-Arne, Hiovain, Katri, Smit, Peter, Rauhala, Ilona, Jokinen, Kristiina, Kurimo, Mikko, Virpioja, Sami
Published in Northern European Journal of Language Technology (2016)
“... FlatCat method is used for statistical learning. For Finnish, we set up a simulated scenario to test...”

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15

Climate Dyn., sub judice. Revised version

by D. Kondrashov, J. Shen, R. Berk, M. Ghil
Published 2007
“...A statistical learning method called random forests is applied to the prediction of transitions...”

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16

Climate Dyn., sub judice. Revised version

by D. Kondrashov, J. Shen, R. Berk, M. Ghil
Published 2007
“...A statistical learning method called random forests is applied to the prediction of tran-sitions...”

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17

Low-Resource Active Learning of North Sámi Morphological Segmentation

by Grönroos, Stig-Arne, Jokinen, Kristiina, Hiovain, Katri, Kurimo, Mikko, Virpioja, Sami
Published in Septentrio Conference Series (2015)
“... learning approach. For statistical learning, we use the semi-supervised Morfessor Baseline and FlatCat...”

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18

The benefits of using otolith weight in statistical fish age classification: a case study of Atlantic cod species

by Bermejo Sánchez, Sergi
Published in Computers and Electronics in Agriculture (2014)
“... statistical learning classifiers (i.e. several non-linear, non-parametric classifiers such different types...”

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19

Predicting Weather Regime Transitions in Northern Hemisphere Datasets

by Kondrashov, Dmitri, Shen, Jie, Berk, Richard, D'Andrea, F., Ghil, M.
Published 2006
“...A statistical learning method called random forests is applied to the prediction of transitions...”

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20

Predicting Weather Regime Transitions in Northern Hemisphere Datasets

by D. Kondrashov, J. Shen, R. Berk, F. D
Published 2011
“...A statistical learning method called random forests is applied to the prediction of transitions...”

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