AN ACTIVE LEARNING METHODOLOGY FOR EFFICIENT ESTIMATION OF EXPENSIVE NOISY BLACK-BOX FUNCTIONS USING GAUSSIAN PROCESS REGRESSION

An Active Learning Methodology for Efficient Estimation of Expensive Noisy Black-Box Functions Using Gaussian Process Regression

Estimation of black-box functions often niner rkt 9 rdo 2023 requires evaluating an extensive number of expensive noisy points.Learning algorithms can actively compare the similarity between the evaluated and unevaluated points to determine the most informative subsequent points for efficient estimation of expensive functions in a sequential proced

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Pathophysiology and pathological findings of heatstroke in dogs

Mariarita Romanucci, Leonardo Della SaldaDepartment of Comparative stealth 67g2 Biomedical Sciences, Faculty of Veterinary Medicine, University of Teramo, Teramo, ItalyAbstract: Canine heatstroke is a life-threatening condition resulting from an imbalance between heat dissipation and production, and characterized by a nonpyrogenic elevation in core

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Performance Assessment of Four Chimeric Trypanosoma cruzi Antigens Based on Antigen-Antibody Detection for Diagnosis of Chronic Chagas Disease.

The performance of serologic tests in chronic Chagas disease diagnosis largely depends on the type and quality of the antigen preparations that are used for detection of anti-Trypanosoma cruzi antibodies.Whole-cell T.cruzi extracts or recombinant proteins have shown variation bengals dog collar in the performance and cross-reactivity.Synthetic chim

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