Different Roles of Prior Distributions in the Single Mediator Model with Latent Variables. [PDF]
Miočević M, Levy R, MacKinnon DP.
europepmc +1 more source
Clustering of categorical variables around latent variables [PDF]
In the framework of clustering, the usual aim is to cluster observations and not variables. However the issue of variable clustering clearly appears for dimension reduction, selection of variables or in some case studies (sensory analysis, biochemistry ...
Marie CHAVENT (IMB UMR CNRS 5251) +2 more
core
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
A General, Simple, and Robust Scoring Mechanism for Scales Measuring Latent Variables. [PDF]
Bujang MA.
europepmc +1 more source
Multiple latent variables but functionally dependent output mappings underlying the recognition of own- and other-race faces for Chinese individuals: Evidence from state-trace analysis. [PDF]
Liu W, Jia Y.
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Identification and Scaling of Latent Variables in Ordinal Factor Analysis. [PDF]
Merkle EC, Winter SD, Fitzsimmons E.
europepmc +1 more source
A Note on Likelihood Ratio Tests for Models with Latent Variables. [PDF]
Chen Y, Moustaki I, Zhang H.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
The Relevance of Local-Scale Relationships to Habitat Management and Landscape Patterns
Joseph J. Nocera +2 more
doaj +1 more source

