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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 - Couverture souple
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Présentation de l'éditeur :
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.
Biographie de l'auteur :
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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- ÉditeurScholars' Press
- Date d'édition2013
- ISBN 10 3639700295
- ISBN 13 9783639700299
- ReliureBroché
- Nombre de pages88
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Machine Learning and Non-Linear Dynamics to the Rescue
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Description du livre Taschenbuch. Etat : 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. N° de réf. du vendeur 9783639700299
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Machine Learning and NonLinear Dynamics to the Rescue Assessment and Prediction of Cardiovascular Status for DecisionSupport during Cardiac Arrest
Edité par
Scholars' Press
(2013)
ISBN 10 : 3639700295
ISBN 13 : 9783639700299
Neuf
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Description du livre PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur 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
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Scholars' Press
(2013)
ISBN 10 : 3639700295
ISBN 13 : 9783639700299
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Description du livre Taschenbuch. Etat : 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. N° de réf. du vendeur 9783639700299
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EUR 59,90
Autre devise
Image d'archives
Machine Learning and NonLinear Dynamics to the Rescue Assessment and Prediction of Cardiovascular Status for DecisionSupport during Cardiac Arrest
Edité par
Scholars' Press
(2013)
ISBN 10 : 3639700295
ISBN 13 : 9783639700299
Neuf
PAP
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Description du livre PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9783639700299
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Machine Learning and Non-Linear Dynamics to the Rescue
Edité par
Scholars\' Press
(2013)
ISBN 10 : 3639700295
ISBN 13 : 9783639700299
Neuf
Couverture souple
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Description du livre Etat : 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. N° de réf. du vendeur 4998580
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