Results 101 to 110 of about 115,501 (297)

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

Advanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon, Taewon Lee, Dohyeong Kim, Sungmin Hwang, Sungjoon Kim   +4 more
wiley   +1 more source

Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion

Science and Technology of Advanced Materials: Methods
In the search for new high-performance materials in materials science, especially in polynomial science, it is important to use physicochemical laws linking materials structure and physical properties, and predict the physical properties required for the
Naoki Yamane, Kan Hatakeyama-Sato, Yuma Iwasaki, Yasuhiko Igarashi   +3 more
doaj   +1 more source

Variable selection for logistic regression using a prediction focussed information criterion. [PDF]

In biostatistical practice, it is common to use information criteria as a guide for model selection. We propose new versions of the Focussed Information Criterion (FIC) for variable selection in logistic regression.
Croux, Christophe, Claeskens, Gerda, Van Kerckhoven, Johan   +2 more
core  

Bayesian Regularisation in Structured Additive Regression Models for Survival Data [PDF]

, 2008
During recent years, penalized likelihood approaches have attracted a lot of interest both in the area of semiparametric regression and for the regularization of high-dimensional regression models.
Konrath, Susanne, Kneib, Thomas, Fahrmeir, Ludwig   +2 more
core   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Defect Prediction Using Akaike and Bayesian Information Criterion [PDF]

Computer Systems Science and Engineering, 2022
Saleh Albahli, Ghulam Nabi Ahmad Hassan Yar   +1 more
openaire   +1 more source

The Generalized Method of Moments in the Bayesian Framework and a Model of Moment Selection Criterion [PDF]

While the classical framework has a rich set of limited information procedures such as GMM and other related methods, the situation is not so in the Bayesian framework.
Jae-Young Kim
core  

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Discussion of: "A Bayesian information criterion for singular models"

, 2016
Contributed discussion to the paper of Drton and Plummer (2017), presented before the Royal Statistical Society on 5th October 2016.
Friel, N., McKeone, J. P., Oates, C. J., Pettitt, A. N.   +3 more
openaire   +2 more sources

Forecast Combination and Bayesian Model Averaging - A Prior Sensitivity Analysis [PDF]

In this study the forecast performance of model averaged forecasts is compared to that of alternative single models. Following Eklund and Karlsson (2007) we form posterior model probabilities - the weights for the combined forecast - based on the ...
Feldkircher, Martin
core