Results 171 to 180 of about 81,662 (309)

HPoolGCL: Augmentation‐Free Cross‐Granularity Graph Contrastive Learning With Hierarchical Pooling

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph contrastive learning (GCL) has emerged as a dominant paradigm for self‐supervised representation learning for attributed graph data. However, existing GCL methods heavily rely on empirical graph data augmentation, which may distort intrinsic graph semantics and produce poor generalisation without carefully chosen or designed augmentation
Fenglin Cen, Shijie Liu, Quan Feng, Tiantian He, Ji Xu   +4 more
wiley   +1 more source

What Dynamic Approaches Have Taught Us About Cognition and What They Have Not: On Values in Motion and the Importance of Replicable Forms

Topics in Cognitive Science, EarlyView., 2023
Abstract Over the past several decades, research in the cognitive sciences has foregrounded the importance of active bodies and their continuous dependence on the changing environment, strengthening the relevance of dynamical models. These models have been steadily developed within the ecological psychology approach to cognition, which arguably ...
Joanna Rączaszek‐Leonardi
wiley   +1 more source

Efficiency of health systems in developing countries: the case of West African countries. [PDF]

Health Econ Rev
Akoetey K, Viallefont A.
europepmc   +1 more source

A Model of the Production Potential with Managed Factors of Inefficiency [PDF]

The results of applied research on estimation of the production potential based on the methodology of the stochastic frontier production function are presented in the paper. The comparative analysis of the stochastic frontier models by means of estimates
Afanasiev, Mikhail
core  

Multi-objective optimization of gold price forecasting using the pareto alpha-cut technique. [PDF]

MethodsX
Bhavana P.
europepmc   +1 more source

Efficiency of Hospitals in the Czech Republic [PDF]

The paper estimates cost efficiency of 99 general hospitals in the Czech Republic during 2001-2008 using Stochastic Frontier Analysis. We estimate a baseline model and also a model accounting for various inefficiency determinants.
Jana Procházková, Lenka Šťastná
core   +1 more source

Demographic buffering in natural populations: A multi‐level perspective

Journal of Animal Ecology, EarlyView.
We introduce a multi‐level framework that unites stochastic elasticities with nonlinear selection to test demographic buffering. Applying it across mammals reveals a key insight: ecological robustness to variability often decouples from evolutionary constraint, reshaping how we understand resilience under environmental stochasticity.
Gabriel Silva Santos, Samuel J. L. Gascoigne, André Tavares Corrêa Dias, Maja Kajin, Roberto Salguero‐Gómez   +4 more
wiley   +1 more source

Factors associated with the export of traditional Chinese medicinal products: A stochastic frontier analysis. [PDF]

PLoS One
Chen Y, Zhou S, Pei Z, Zhao W, Yang J, Hu Y, Feng X, Xu M.   +7 more
europepmc   +1 more source

Technical Efficiency and Optimal Farm Size in the Tajik's Cotton Sector [PDF]

The main objective of this paper is to estimate the technical efficiency of cotton farms in Tajikistan using a stochastic frontier production function, and to derive the optimal farm size. Currently, Tajikistan is reforming its cotton sector. This reform
Tsimpo Nkengne, Clarence
core   +1 more source

Environmental Total Factor Productivity and the Cost‐Effectiveness of GHG Emission Reduction: The Case of Crop Production in China

Australian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT China's diversified agricultural policies have effectively improved both the yield and environmental performance of the crop sector. Quantifying productivity trends and their drivers is key to formulating strategies for high‐quality and low‐carbon crop development.
Yang Liu, Maria Vrachioli, Johannes Sauer   +2 more
wiley   +1 more source