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For functional regression models with functional responses, we propose a nonparametric random-effects model using Gaussian process priors. The proposed model captures the heterogeneity nonlinearly and ...
Promptfoo Inc., a broadly adopted open-source framework for artificial intelligence evaluation and testing, today announced ...
Before the Army’s ongoing transition to Agile software development, PEO EIS' GCSS-Army product office saw a need to shorten the software testing process.
In this paper, we consider a nonparametric model with a time-varying regression function and locally stationary regressors. We are interested in the question whether the regression function has the ...
Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...
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AZoBuild on MSNResearchers Develop Machine Learning Model to Predict High-Strength Concrete PerformanceA new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...
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