Machine Learning and Non-Linear Dynamics to the Rescue: Assessment and Prediction of Cardiovascular Status for Decision-Support during Cardiac Arrest - Tapa blanda
Sinopsis
In this book, new methods of feature extraction, feature selection, stochastic data characterization (modeling), variance reduction, and measures for parametric discrimination are proposed. These methods have implications for data mining (knowledge extraction), machine learning (predictive modeling), and information theory. A novel decision-support system is developed in order to guide intervention during cardiac arrest. The models that form components of this system are built upon knowledge extracted with signal-processing, non-linear dynamic and machine-learning methods.
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Reseña del editor
In this book, new methods of feature extraction, feature selection, stochastic data characterization (modeling), variance reduction, and measures for parametric discrimination are proposed. These methods have implications for data mining (knowledge extraction), machine learning (predictive modeling), and information theory. A novel decision-support system is developed in order to guide intervention during cardiac arrest. The models that form components of this system are built upon knowledge extracted with signal-processing, non-linear dynamic and machine-learning methods.
Biografía del autor
Sharad Shandilya has a doctorate in computer science with research interests spanning machine learning, non-linear dynamics and decision theory. He enjoys creating technologies that operate in non-deterministic, non-stationary domains represented by real-world settings with uncertainty abound.
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Machine Learning and Non-Linear Dynamics to the Rescue
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Scholars' Press Nov 2013, 2013
ISBN 10: 3639700295
ISBN 13: 9783639700299
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, new methods of feature extraction, feature selection, stochastic data characterization (modeling), variance reduction, and measures for parametric discrimination are proposed. These methods have implications for data mining (knowledge extraction), machine learning (predictive modeling), and information theory. A novel decision-support system is developed in order to guide intervention during cardiac arrest. The models that form components of this system are built upon knowledge extracted with signal-processing, non-linear dynamic and machine-learning methods. 88 pp. Englisch. Nº de ref. del artículo: 9783639700299
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Machine Learning and Non-Linear Dynamics to the Rescue
Impresión bajo demandaLibrería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shandilya SharadSharad Shandilya has a doctorate in computer science with research interests spanning machine learning, non-linear dynamics and decision theory. He enjoys creating technologies that operate in non-deterministic, non-s. Nº de ref. del artículo: 4998580
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Machine Learning and Non-Linear Dynamics to the Rescue
Publicado por
Scholars' Press Nov 2013, 2013
ISBN 10: 3639700295
ISBN 13: 9783639700299
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, new methods of feature extraction, feature selection, stochastic data characterization (modeling), variance reduction, and measures for parametric discrimination are proposed. These methods have implications for data mining (knowledge extraction), machine learning (predictive modeling), and information theory. A novel decision-support system is developed in order to guide intervention during cardiac arrest. The models that form components of this system are built upon knowledge extracted with signal-processing, non-linear dynamic and machine-learning methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. Nº de ref. del artículo: 9783639700299
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Machine Learning and Non-Linear Dynamics to the Rescue : Assessment and Prediction of Cardiovascular Status for Decision-Support during Cardiac Arrest
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, new methods of feature extraction, feature selection, stochastic data characterization (modeling), variance reduction, and measures for parametric discrimination are proposed. These methods have implications for data mining (knowledge extraction), machine learning (predictive modeling), and information theory. A novel decision-support system is developed in order to guide intervention during cardiac arrest. The models that form components of this system are built upon knowledge extracted with signal-processing, non-linear dynamic and machine-learning methods. Nº de ref. del artículo: 9783639700299
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Machine Learning and Non-Linear Dynamics to the Rescue | Assessment and Prediction of Cardiovascular Status for Decision-Support during Cardiac Arrest
Librería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Machine Learning and Non-Linear Dynamics to the Rescue | Assessment and Prediction of Cardiovascular Status for Decision-Support during Cardiac Arrest | Sharad Shandilya | Taschenbuch | Englisch | 2013 | Scholars' Press | EAN 9783639700299 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 105583724
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Machine Learning and Non-Linear Dynamics to the Rescue: Assessment and Prediction of Cardiovascular Status for Decision-Support during Cardiac Arrest
Librería: Mispah books, Redhill, SURRE, Reino Unido
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paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Nº de ref. del artículo: ERICA82936397002956
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