Support vector machines classifiers of physical activities in preschoolers. - Wikidata - awgldk - TriplyDB

Support vector machines classifiers of physical activities in preschoolers.

Support vector machines classifiers of physical activities in preschoolers.

http://www.wikidata.org/entity/Q37319433

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Prediction of energy expenditure and physical activity in preschoolers Detecting COPD exacerbations early using daily telemonitoring of symptoms and k-means clustering: a pilot study.

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Support vector machines classifiers of physical activities in preschoolers.

http://www.wikidata.org/entity/Q37319433

description

article científic

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article scientifique

@fr

articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 07 June 2013

@en

vedecký článok

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vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

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name

Support vector machines classifiers of physical activities in preschoolers.

@en

Support vector machines classifiers of physical activities in preschoolers.

@nl

type

label

Support vector machines classifiers of physical activities in preschoolers.

@en

Support vector machines classifiers of physical activities in preschoolers.

@nl

prefLabel

Support vector machines classifiers of physical activities in preschoolers.

@en

Support vector machines classifiers of physical activities in preschoolers.

@nl

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Physiological Reports

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Support vector machines classifiers of physical activities in preschoolers

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Anne L Adolph

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Firoz A Vohra

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Issa F Zakeri

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Maurice R Puyau

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Nancy F Butte

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P2860

CDC growth charts: United States

An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer.

Multivariate adaptive regression splines models for the prediction of energy expenditure in children and adolescents.

Improving assessment of daily energy expenditure by identifying types of physical activity with a single accelerometer.

Features of the metabolic syndrome are associated with objectively measured physical activity and fitness in Danish children: the European Youth Heart Study (EYHS).

An overview of statistical learning theory.

An artificial neural network model of energy expenditure using nonintegrated acceleration signals.

Identification of children's activity type with accelerometer-based neural networks.

Evaluation of neural networks to identify types of activity using accelerometers.

Recognition of daily life motor activity classes using an artificial neural network.

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e00006

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10.1002/PHY2.6

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259155871

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24303099

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support vector machine

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