Results 91 to 100 of about 115,501 (297)
An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials
Advanced Engineering Materials, EarlyView.An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut +16 more
wiley +1 more source
AGGLOMERATIVE CLUSTERING OF SOUND RECORD SPEECH SEGMENTS BASED ON BAYESIAN INFORMATION CRITERION [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2013 This paper presents the detailed description of agglomerative clustering system implementation for speech segments based on Bayesian information criterion.
O. Yu. Kydashev
doaj
Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
A Selective Review on Information Criteria in Multiple Change Point Detection
EntropyChange points indicate significant shifts in the statistical properties in data streams at some time points. Detecting change points efficiently and effectively are essential for us to understand the underlying data-generating mechanism in modern data ...
Zhanzhongyu Gao +4 more
doaj +1 more source
Journal of Advanced Engineering and Computation, 2019 When doing research on scientific issues, it is very significant if our research issues are closely connected to real applications. In reality, when analyzing data in practice, there are frequently several models that can appropriate to the survey data ...
Kim-Hung Pho +3 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.X‐ray computed tomography reveals how process‐induced defects evolve from green to sintered states in Fused Filament Fabrication (FFF)‐manufactured 17‐4PH stainless steel. Internal porosity, weakest cross‐sections, and fracture locations show strong correlation with tensile performance, demonstrating the potential of computed tomography (CT)‐based ...
György Ledniczky +3 more
wiley +1 more source
Bayesian estimation under different loss functions for the case of inverse Rayleigh distribution
Kuwait Journal of ScienceIn this study, the best parameter estimator for the scale parameter (θ) of the inverse Rayleigh distribution was determined based on a comparison of the maximum likelihood estimator (MLE) method, the Bayesian generalized squared error loss function (SELF)
doaj +1 more source
Discussion of: A Bayesian information criterion for\ud singular models
, 2017 The BIC can be viewed as an easily computable proxy to fully Bayesian model choice, which is conducted by comparing the marginal likelihood (or evidence) for each of the models.
South, Leah F. +2 more
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Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
A Bayesian Approach for Predicting with Polynomial Regresión of Unknown Degree. [PDF]
This article presents a comparison of four methods to compute the posterior probabilities of the possible orders in polynomial regression models. These posterior probabilities are used for forecasting by using Bayesian model averaging.
Irwin Guttman +2 more
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