Results 181 to 190 of about 92,357 (305)

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

Evaluating economic efficiency of the national high-tech industrial development districts in the Yangtze River Delta by stochastic frontier analysis. [PDF]

Heliyon
Yang C.
europepmc   +1 more source

Economics of technical efficiency in white honey production: Using stochastic frontier production function. [PDF]

Saudi J Biol Sci, 2019
Alropy ET, Desouki NE, Alnafissa MA.
europepmc   +1 more source

Estimating Production Risk and Inefficiency Simultaneously: An Application to Cotton Cropping Systems [PDF]

By using a stochastic frontier framework, the mutual effect of input use on production risk and inefficiency is investigated. Disentangling this mutual effect proves important for empirical reasons, at least when applied to west Tennessee cotton systems ...
Frechette, Darren L., Jaenicke, Edward C., Larson, James A.   +2 more
core   +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

A comparative study of energy and carbon efficiency for emerging countries using panel stochastic frontier analysis. [PDF]

Sci Rep, 2019
Jin T, Kim J.
europepmc   +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

A Stochastic Frontier Approach to Study the Relationship between the Hygienic Quality of Bulk Tank Sheep Milk and Technical Efficiency of the Coagulation Process. [PDF]

Foods
Jiménez L, Perea JM, Caballero-Villalobos J, Angón E, Cecchinato A, Amalfitano N, Oliete B, Arias R.   +7 more
europepmc   +1 more source

Quality and resource efficiency in hospital service provision: A geoadditive stochastic frontier analysis of stroke quality of care in Germany. [PDF]

PLoS One, 2018
Pross C, Strumann C, Geissler A, Herwartz H, Klein N.   +4 more
europepmc   +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