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Ranking facts for explaining answers to elementary science questions.

• Authors : D'Souza, Jennifer; Mulang, Isaiah Onando; Auer, Sören

Subjects: QUESTION answering systems; SUPPORT vector machines; NATURAL languages

• Source: Natural Language Engineering; Mar2023, Vol. 29 Issue 2, p228-253, 26p

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Biological Imaging

Subjects: bioimaging; machine learning; mathematical modelling

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Developing contextually aware ship domains using machine learning.

• Authors : Rawson, Andrew¹ (AUTHOR) ; Brito, Mario² (AUTHOR)

Subjects: *MACHINE learning; *RANDOM forest algorithms; *DATA mining

• Source: Journal of Navigation. May2021, Vol. 74 Issue 3, p515-532. 18p.

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FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data.

• Authors : WANG, HUADUO; SHAKERIN, FARHAD; GUPTA, GOPAL

Subjects: MACHINE learning; CLASSIFICATION algorithms; MULTILAYER perceptrons

• Source: Theory & Practice of Logic Programming; Sep2022, Vol. 22 Issue 5, p658-677, 20p

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Data mining and knowledge discovery in chemical processes: Effect of alternative processing techniques

• Authors : Luis A. Briceno-Mena; Miriam Nnadili; Michael G. Benton

Subjects: Data mining; knowledge discovery; machine learning

• Source: Data-Centric Engineering, Vol 3 (2022)

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Assessment of predictive probability models for effective mechanical design feature reuse.

• Authors : Vasantha, Gokula; Purves, David; Quigley, John

Subjects: MECHANICAL models; PREDICTION models; BAYESIAN analysis

• Source: AI EDAM; Feb2022, Vol. 36, p1-17, 17p

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Learning to predict characteristics for engineering service projects.

• Authors : Ghanem, Roger; Du, Xiaoping; Shi, Lei¹

Subjects: *ENGINEERING services; *MACHINE learning; *DATA mining

• Source: AI EDAM. Aug2017, Vol. 31 Issue 3, p313-326. 14p.

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Machine Learning for Text.

• Authors : Lu, Xiaolei

Subjects: MACHINE learning; NAIVE Bayes classification; DEEP learningMACHINE Learning for Text (Book)

• Source: Natural Language Engineering; Jul2022, Vol. 28 Issue 4, p541-543, 3p

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Scaling up Machine Learning : Parallel and Distributed Approaches

• Authors : Ron Bekkerman; Mikhail Bilenko; John Langford

Subjects: Parallel programs (Computer programs); Machine learning; Data miningCOMPUTERS / Business & Productivity Software / Business Intelligence; COMPUTERS / Artificial Intelligence / General

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Classification of environmental factors potentially motivating for dairy cows to access shade.

• Authors : Deniz, Matheus; de Sousa, Karolini Tenffen; Gomes, Isabelle Cordova

Subjects: DAIRY cattle; SILVOPASTORAL systems; DATA mining

• Source: Journal of Dairy Research; Aug2021, Vol. 88 Issue 3, p274-277, 4p

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