A priori and a posteriori - Open Access .click

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An Introduction to Predictive Processing Models of Perception and Decision‐Making

Topics in Cognitive Science, EarlyView., 2023
Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley +1 more source

Numerical solution and errors analysis of iterative method for a nonlinear plate bending problem

Results in Applied Mathematics
This paper uses the HCT finite element method and mesh adaptation technology to solve the nonlinear plate bending problem and conducts error analysis on the iterative method, including a priori and a posteriori error estimates. Our investigation exploits
Akakpo Amoussou Wilfried, Houédanou Koffi Wilfrid +1 more
doaj +1 more source

A quoi sert la modalisation a posteriori ?

Anglophonia, 2015
This paper explores Paul Larreya’s concept of a posteriori modalisation. We first come back on Larreya’s distinction between a priori and a posteriori modalisation and suggest that his typology of the uses and functions of a posteriori modalisation ...
Grégory Furmaniak
doaj +1 more source

hp-Version discontinuous Galerkin methods with interior penalty for partial differential equations with nonnegative characteristic form. [PDF]

, 2002
In this paper we consider the a posteriori and a priori analysis of hp-discontinuous Galerkin interior penalty methods for second-order partial differential equations with nonnegative characteristic form. In particular, we discuss the question of error
Harriman, Kathryn +3 more
core

Increased expression of aromatase after focal cerebral ischemia: Relevance to neuroprotection and functional recovery

Neuroprotection, EarlyView.
Abstract Aim Aromatase is the key enzyme in the biosynthesis of 17β‐estradiol, the most potent estrogen, which has pleiotropic neuroprotective properties. Aromatase levels increase in the brain after stroke, and its gene variants increase susceptibility to stroke. This study aims to determine whether aromatase overexpression improves stroke outcome and
Lindsay Gallagher +8 more
wiley +1 more source

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems +2 more
wiley +1 more source

Simplifying species‐interaction models by grouping parameters: optimal groupings differ between effects and responses

Oikos, EarlyView.
Most ecological models of species interactions require many parameters, making them expensive to fit to experimental or observational data. To reduce the number of parameters, species are often divided into groups a priori, for example on the basis of functional or phylogenetic similarity, and species within these groups are assumed to behave ...
Christopher R. P. Brown, Daniel B. Stouffer +1 more
wiley +1 more source

Verification of the ROSFOND/ABBN nuclear data based on the OECD/NEA benchmark on criticality safety of mox-fueled systems [PDF]

Nuclear Energy and Technology, 2019
The paper presents the results of a computational analysis of the OECD/NEA benchmark conducted to estimate the accuracy of the critical safety parameters of multiplying MOX-fueled systems.
Olga N. Andrianova, Yury Ye. Golovko, Gennady N. Manturov +2 more
doaj +3 more sources

Towards Automatic Global Error Control: Computable Weak Error Expansion for the Tau-Leap Method

, 2010
This work develops novel error expansions with computable leading order terms for the global weak error in the tau-leap discretization of pure jump processes arising in kinetic Monte Carlo models. Accurate computable a posteriori error approximations are
Karlsson, Jesper, Tempone, Raul
core +1 more source

State Capacity and Path Dependence in Cape Verde's Supreme Audit Institution

Public Administration and Development, EarlyView.
ABSTRACT This study examines state capacity and path dependence in the Supreme Audit Institution (SAI) of Cape Verde, focussing on the performance and governance of the Court of Auditors. Drawing on a mixed‐methods longitudinal design covering the period from 2010 to 2024, the analysis combines international governance indicators, documentary analysis,
Ana Lúcia Romão
wiley +1 more source

physics