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 ...

• 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 ...

• Rakennusteknisten, geologisten ja ilmastollisten tekijöiden vaikutus asuntojen sisäilman radonpitoisuuteen 

  Kinnunen, Topi (2008)

• A note on Malliavin smoothness on the Lévy space 

  Laukkarinen, Eija (University of Washington, 2017)

  We consider Malliavin calculus based on the Itô chaos decomposition of square integrable random variables on the Lévy space. We show that when a random variable satisfies a certain measurability condition, its differentiability ...

• Estimating aggregated nutrient fluxes in four Finnish rivers via Gaussian state space models 

  Helske, Jouni; Nyblom, Jukka; Ekholm, Petri; Meissner, Kristian (Wiley-Blackwell, 2013)

  Reliable estimates of the nutrient fluxes carried by rivers from land-based sources to the sea are needed for efficient abatement of marine eutrophication. Although nutrient concentrations in rivers generally display large ...