Results 111 to 120 of about 1,538 (222)

Hyperuniformity and non-hyperuniformity of zeros of Gaussian Weyl-Heisenberg Functions. [PDF]

open access: yesProbab Theory Relat Fields
Feldheim N   +3 more
europepmc   +1 more source

On 2D elliptic discontinuous Galerkin methods [PDF]

open access: yes, 2006
Sherwin, SJ   +4 more
core   +1 more source

A balance between stability and flexibility: Adaptive patterns of self‐regulated learning processes shape game‐based learning

open access: yesBritish Journal of Educational Technology, EarlyView.
Abstract To ensure learning efficiency in game‐based learning (GBL), learners must regulate cognitive, affective, metacognitive and motivational (CAMM) processes, collectively known as self‐regulated learning (SRL). SRL is dynamic and non‐linear, characterized by regulatory patterns and CAMM interactions that lead to macro‐level SRL behaviours. In this
Elizabeth B. Cloude   +6 more
wiley   +1 more source

Calibrating Bayesian inference

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu   +2 more
wiley   +1 more source

Peer effects at work on parental leave: Why is Papa not more involved?

open access: yesCanadian Journal of Economics/Revue canadienne d'économique, EarlyView.
Abstract We estimate the peer effects of paternity leave‐taking among male co‐workers using the 2006 Quebec paternity leave reform. Using high‐quality administrative data, we closely follow the birth date regression discontinuity research design of Dahl et al.
Yaya Diallo, Fabian Lange
wiley   +1 more source

Basis Networks: Learning basis functions for free‐form triangulations

open access: yesComputer Graphics Forum, EarlyView.
Abstract We present a framework for learning compactly supported basis functions that define tangent continuous surfaces based on coarse irregular triangle meshes. The basis functions are represented as MLPs. Smoothness of the basis functions is achieved by using the values of Loop basis functions as the parameterization of the surface.
T. Djuren, M. Alexa
wiley   +1 more source

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