Search Results

Plastic-type prediction based on digital image using multinomial Naïve Bayes method.

• Authors : Yani, Irsyadi; Resti, Yulia

Subjects: GREENHOUSE gases; PLASTIC recycling; BAYES' theorem

• Source: AIP Conference Proceedings; 2024, Vol. 2920 Issue 1, p1-8, 8p

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Bayes in action in deep learning and dictionary learning.

• Authors : Arbel, Julyan; Dang, Hong-Phuong; Elvira, Clement

Subjects: BAYES' theorem; DEEP learning; ENCYCLOPEDIAS & dictionaries

• Source: ESAIM: Proceedings & Surveys; 2023, Vol. 74, p90-107, 18p

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Comparative Assessment of Rule-Based and Bayes' Theorem as Inference Engines in Diagnosing Symptoms for Islamic Medication Expert System.

• Authors : Daud, H.; Razali, R.; Low, T. J.

Subjects: BAYES' theorem; DIAGNOSIS; COMPARATIVE studies

• Source: AIP Conference Proceedings; 2014, Vol. 1602, p1132-1138, 7p

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Education Full Text (H.W. Wilson)

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Estimating Covid-19 deaths by using binomial model.

• Authors : Hincal, Evren; Kaymakamzade, Bilgen; Suren, Fatma Nese

Subjects: COVID-19; SARS-CoV-2; DISTRIBUTION (Probability theory)

• Source: AIP Conference Proceedings; 2020, Vol. 2325 Issue 1, p1-4, 4p

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BayesGaze: A Bayesian Approach to Eye-Gaze Based Target Selection.

• Authors : Zhi Li; Maozheng Zhao; Yifan Wang

Subjects: BAYES' theorem; PROBABILITY theory; HUMAN-computer interaction

• Source: Proceedings Graphics Interface; 2021, p314-323, 10p

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Qualitative Approach for Assessing Runoff Temporal Dependence Through Geometrical Symmetry.

• Authors : Zazo Del dedo, Santiago; Macian-Sorribes, Hector; Sena Fael, Cristina Maria

Subjects: BAYES' theorem; WATERSHEDS; TIME series analysisIBERIAN Peninsula

• Source: KnE Engineering; 6/2/2020, p872-883, 12p

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Analysis of Approaches to Building a Probability Density Function for the Mathematical Model Parameters of Rat Atrial Cardiomyocytes.

• Authors : Shmarko, D. V.; Nesterova, T. M.; Ushenin, K. S.

Subjects: MATHEMATICAL functions; MATHEMATICAL models; ORDINARY differential equations

• Source: AIP Conference Proceedings; 2019, Vol. 2174 Issue 1, p020254-1-020254-6, 6p

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Modelling of failure rate of water supply network using the Bayes theorem.

• Authors : Kaźmierczak, B.; Kutyłowska, M.; Piekarska, K.

• Source: E3S Web of Conferences; 2018, Vol. 44, pN.PAG-N.PAG, 6p

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Toward Automated Interpretation of Integrated Information: Managing "Big Data" for NDE.

• Authors : Gregory, Elizabeth; Lesthaeghe, Tyler; Holland, Stephen

Subjects: NONDESTRUCTIVE testing; BIG data; AUTOMATION

• Source: AIP Conference Proceedings; 2015, Vol. 1650 Issue 1, p1893-1897, 5p, 2 Color Photographs, 2 Diagrams

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