About: covid:PMC7302558

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An Entity of Type : owl:Thing, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
Creator	Sloot, Peter Teixeira, João Dongarra, Jack Shao, Wei Brissos, Sérgio Krzhizhanovskaya, Valeria Lees, Michael Salim, Flora Závodszky, Gábor Bradbrook, Doug Rahaman, Mohammad Song, Andy Turky, Ayad
is schema:about of	named entity 'Deep Learning' named entity 'one-dimensional' named entity 'experimental settings' named entity 'objective function' named entity 'deep learning' named entity 'memetic algorithm' named entity 'Local Search Algorithm' named entity 'feature extraction' named entity 'machine learning' named entity 'local search algorithm' named entity 'artificial neural network' named entity 'deep learning' named entity 'feature engineering' named entity 'XGBoost' named entity 'memetic algorithm' named entity 'Steepest descent' named entity 'algorithm' named entity 'Random forest' named entity 'pseudocode' named entity 'standard deviation' named entity 'evolutionary algorithms' named entity 'deep learning' named entity 'RMSE' named entity 'local search' named entity 'New York City' named entity 'pseudocode' named entity 'algorithm' named entity 'Fitness Function' named entity 'RMSE' named entity 'GPS' named entity 'XGBoost' named entity 'big data' named entity 'search space' named entity 'neural network' named entity 'artificial neural network' named entity 'store and forward' named entity 'deep learning' named entity 'traditional machine learning' named entity 'XGBoost' named entity 'algorithm' named entity 'GPS devices' named entity 'deep learning' named entity 'random forest' named entity 'Artificial neural network' named entity 'traffic modelling' named entity 'point mutation' named entity 'Global Positioning' named entity 'traditional machine learning' named entity 'metaheuristic' named entity 'fixed cost' named entity 'Keras' named entity 'neuron' named entity 'machine learning methods' named entity 'squared-error' named entity 'deep learning' named entity 'machine learning' named entity 'deep learning' named entity 'machine learning' named entity 'machine learning' named entity 'New York City' named entity 'genetic algorithm' named entity 'multivariate regression' named entity 'algorithm' named entity 'algorithm' named entity 'store and forward' named entity 'demand estimation' named entity 'random forest' named entity 'search space' named entity 'steepest descent' named entity 'experimental results' named entity 'gradient descent' named entity 'genetic algorithm' named entity 'subset' named entity 'Multivariate regression' named entity 'local search' named entity 'deep neural network' named entity 'artificial neural network' named entity 'deep learning' named entity 'telematics' named entity 'metaheuristic' named entity 'algorithm' named entity 'deep learning' named entity 'deep learning' named entity 'memetic algorithm' named entity 'Spatio' named entity 'random forest' named entity 'deep learning'

Attributes

Values

Creator

Sloot, Peter
Teixeira, João
Dongarra, Jack
Shao, Wei
Brissos, Sérgio
Krzhizhanovskaya, Valeria
Lees, Michael
Salim, Flora
Závodszky, Gábor
Bradbrook, Doug
Rahaman, Mohammad
Song, Andy
Turky, Ayad

is schema:about of

named entity 'Deep Learning'
named entity 'one-dimensional'
named entity 'experimental settings'
named entity 'objective function'
named entity 'deep learning'
named entity 'memetic algorithm'
named entity 'Local Search Algorithm'
named entity 'feature extraction'
named entity 'machine learning'
named entity 'local search algorithm'
named entity 'artificial neural network'
named entity 'deep learning'
named entity 'feature engineering'
named entity 'XGBoost'
named entity 'memetic algorithm'
named entity 'Steepest descent'
named entity 'algorithm'
named entity 'Random forest'
named entity 'pseudocode'
named entity 'standard deviation'
named entity 'evolutionary algorithms'
named entity 'deep learning'
named entity 'RMSE'
named entity 'local search'
named entity 'New York City'
named entity 'pseudocode'
named entity 'algorithm'
named entity 'Fitness Function'
named entity 'RMSE'
named entity 'GPS'
named entity 'XGBoost'
named entity 'big data'
named entity 'search space'
named entity 'neural network'
named entity 'artificial neural network'
named entity 'store and forward'
named entity 'deep learning'
named entity 'traditional machine learning'
named entity 'XGBoost'
named entity 'algorithm'
named entity 'GPS devices'
named entity 'deep learning'
named entity 'random forest'
named entity 'Artificial neural network'
named entity 'traffic modelling'
named entity 'point mutation'
named entity 'Global Positioning'
named entity 'traditional machine learning'
named entity 'metaheuristic'
named entity 'fixed cost'
named entity 'Keras'
named entity 'neuron'
named entity 'machine learning methods'
named entity 'squared-error'
named entity 'deep learning'
named entity 'machine learning'
named entity 'deep learning'
named entity 'machine learning'
named entity 'machine learning'
named entity 'New York City'
named entity 'genetic algorithm'
named entity 'multivariate regression'
named entity 'algorithm'
named entity 'algorithm'
named entity 'store and forward'
named entity 'demand estimation'
named entity 'random forest'
named entity 'search space'
named entity 'steepest descent'
named entity 'experimental results'
named entity 'gradient descent'
named entity 'genetic algorithm'
named entity 'subset'
named entity 'Multivariate regression'
named entity 'local search'
named entity 'deep neural network'
named entity 'artificial neural network'
named entity 'deep learning'
named entity 'telematics'
named entity 'metaheuristic'
named entity 'algorithm'
named entity 'deep learning'
named entity 'deep learning'
named entity 'memetic algorithm'
named entity 'Spatio'
named entity 'random forest'
named entity 'deep learning'

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