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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 - Brossura
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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L'autore:
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreScholars' Press
- Data di pubblicazione2013
- ISBN 10 3639700295
- ISBN 13 9783639700299
- RilegaturaCopertina flessibile
- Numero di pagine88
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Machine Learning and Non-Linear Dynamics to the Rescue
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ISBN 13: 9783639700299
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Machine Learning and Non-Linear Dynamics to the Rescue
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Machine Learning and Non-Linear Dynamics to the Rescue
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Descrizione libro Taschenbuch. Condizione: 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. Codice articolo 9783639700299
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Machine Learning and NonLinear Dynamics to the Rescue Assessment and Prediction of Cardiovascular Status for DecisionSupport during Cardiac Arrest
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Descrizione libro PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9783639700299
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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
Editore:
Scholars' Press
(2013)
ISBN 10: 3639700295
ISBN 13: 9783639700299
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Descrizione libro Taschenbuch. Condizione: 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. Codice articolo 9783639700299
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Machine Learning and NonLinear Dynamics to the Rescue Assessment and Prediction of Cardiovascular Status for DecisionSupport during Cardiac Arrest
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Descrizione libro PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9783639700299
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Machine Learning and Non-Linear Dynamics to the Rescue
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(2013)
ISBN 10: 3639700295
ISBN 13: 9783639700299
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Descrizione libro Condizione: 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. Codice articolo 4998580
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