Showing items with similar title or keywords.

• Poincaré Type Inequalities for Vector Functions with Zero Mean Normal Traces on the Boundary and Applications to Interpolation Methods 

  Repin, Sergey (Springer, 2019)

  We consider inequalities of the Poincaré–Steklov type for subspaces of H1 -functions defined in a bounded domain Ω∈Rd with Lipschitz boundary ∂Ω . For scalar valued functions, the subspaces are defined by zero mean ...

• Korpusavusteinen virheanalyysi tarkkuuden kehityksestä EVK:n taitotasoilla A2-B2 

  Brunni, Sisko; Jantunen, Jarmo; Skantsi, Valtteri (Puheen ja kielen tutkimuksen yhdistys, 2019)

  Artikkelissa tarkastellaan kielitaidon taitotasoittaista kehittymistä potentiaalisten esiintymien analyysin (Potential Occasion Analysis, Thewissen, 2015) avulla. Kehittymistä analysoidaan tarkkuuden näkökulmasta, ...

• Minimal Learning Machine : Theoretical Results and Clustering-Based Reference Point Selection 

  Hämäläinen, Joonas; Alencar, Alisson S. C.; Kärkkäinen, Tommi; Mattos, César L. C.; Souza Júnior, Amauri H.; Gomes, João P. P. (JMLR, 2020)

  The Minimal Learning Machine (MLM) is a nonlinear, supervised approach based on learning linear mapping between distance matrices computed in input and output data spaces, where distances are calculated using a subset of ...

• Nopean sarjallisen nimeämisen tauko- ja artikulaatioaika sekä niiden yhteys lukemiseen ensimmäisellä luokalla 

  Haverinen, Elise; Sieviläinen, Päivi (2003)

• Both contextual regularity and selective attention affect the reduction of precision‐weighted prediction errors but in distinct manners 

  Hsu, Yi‐Fang; Hämäläinen, Jarmo A. (Wiley-Blackwell, 2021)

  Predictive coding model of perception postulates that the primary objective of the brain is to infer the causes of sensory inputs by reducing prediction errors (i.e., the discrepancy between expected and actual information). ...