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In this work, one of the most popular machine learning techniques (boosted regression trees), was applied to model 8 radial displacements and 4 leakage flows at La Baells Dam.
But if you do, you will be aware that each of the three main games consoles has strengths and weaknesses that make it appeal to a particular audience.Of the current console line-up, Sony's PlayStation 2 is the most popular machine, with the broadest choice of games.
Support vector machine (SVM), under the frame of Vapnik Chervonenkis theory, [33, 34] is one of the most popular machine learning methods used in QSAR modeling [35].
Support Vector Machine has become one of the most popular machine learning tools used in virtual screening campaigns aimed at finding new drug candidates.
Its $2,200 (£1,400) Replicator 2 is its most popular machine, favoured by hobbyists and manufacturers who use the machines to build prototypes and parts.
The R package caret provides a common interface to the most popular machine learning packages that exist in R, and, as such, camb invokes caret to set up cross-validation frameworks and train machine learning models.
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For die-cavity pocketing, contour-parallel machining is the most popular machining strategy.
Four weeks, three programs, two New York premieres and one of mainstream dance's most popular machines: it all begins on Monday, with a special opening night featuring season highlights.
Students will learn how to implement the most popular machine-learning techniques in use today to discover patterns in their data and develop models to predict future outcomes.
Horizontal cold-chamber machines are the most popular machines used in pressure casting.
SVM is the most popular machines learning tool that can classify data separated by non-linear and linear boundaries, originated from Vapnik's statistical learning theory [16].The main concepts of the SVM are to first transform input data into a higher dimensional space and then construct an optimal separating hyper plane (OSH) between the two classes in the transformed space [17, 18].
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CEO of Professional Science Editing for Scientists @ prosciediting.com