Results 211 to 220 of about 823,510 (266)

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Impaired visual and verbal statistical learning in children with Dyslexia in a transparent orthography. [PDF]

Ann Dyslexia
Mateus-Moreno A, Lara-Diaz MF, Adrover-Roig D, Aguilar-Mediavilla E, Jiménez-Fernández G.   +4 more
europepmc   +1 more source

Risk factors for tuberculosis treatment outcomes: a statistical learning-based exploration using the SINAN database with incomplete observations. [PDF]

BMC Med Inform Decis Mak
Phat NK, Lee Y, Vu DH, Long NP, Park S.
europepmc   +1 more source

Individual differences in distributional statistical learning: Better frequency "discriminators" are better "estimators". [PDF]

Q J Exp Psychol (Hove)
Growns B, Martire KA, Mattijssen EJAT.
europepmc   +1 more source

Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer's disease. [PDF]

Brain Inform
Birkenbihl C, Cuppels M, Boyle RT, Klinger HM, Langford O, Coughlan GT, Properzi MJ, Chhatwal J, Price JC, Schultz AP, Rentz DM, Amariglio RE, Johnson KA, Gottesman RF, Mukherjee S, Maruff P, Lim YY, Masters CL, Beiser A, Resnick SM, Hughes TM, Burnham S, Tunali I, Landau S, Cohen AD, Johnson SC, Betthauser TJ, Seshadri S, Lockhart SN, O'Bryant SE, Vemuri P, Sperling RA, Hohman TJ, Donohue MC, Buckley RF.   +34 more
europepmc   +1 more source

Statistical learning re-shapes the center-surround inhibition of the visuo-spatial attentional focus. [PDF]

Sci Rep
Massironi A, Lega C, Ronconi L, Bricolo E.   +3 more
europepmc   +1 more source

Comparing statistical learning methods for complex trait prediction from gene expression. [PDF]

PLoS One
Klimkowski Arango N, Morgante F.
europepmc   +1 more source

Long-Horizon associative learning as a unifying framework for statistical learning across scales

Benjamin L, Fló A, Al Roumi F, Dehaene-Lambertz G.   +3 more
europepmc   +1 more source

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Statistical Learning in Vision

Annual Review of Vision Science, 2022
Vision and learning have long been considered to be two areas of research linked only distantly. However, recent developments in vision research have changed the conceptual definition of vision from a signal-evaluating process to a goal-oriented interpreting process, and this shift binds learning, together with the resulting internal representations ...
József, Fiser, Gábor, Lengyel
openaire   +2 more sources