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Statistical Learning for Biomedical Data - James D. Malley
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ISBN: 9780511985546

ID: 9780511985546

This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random Forests(TM), neural nets, support vector machines, nearest neighbors and boosting. Statistical Learning for Biomedical Data: This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random Forests(TM), neural nets, support vector machines, nearest neighbors and boosting., Cambridge University Press

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Statistical Learning for Biomedical Data - Malley, James D.
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2, ISBN: 9780511985546

ID: 101159780511985546

This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical r This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random ForestsÇ-¢, neural nets, support vector machines, nearest neighbors and boosting. Biostatistics, Reference, Statistical Learning for Biomedical Data~~ Malley, James D.~~Biostatistics~~Reference~~9780511985546, en, Statistical Learning for Biomedical Data, Malley, James D., 9780511985546, Cambridge University Press, 02/01/2011, , , , Cambridge University Press, 02/01/2011

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Statistical Learning For Biomedical Data - Cambridge University Press
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Statistical Learning For Biomedical Data - neues Buch

2011, ISBN: 9780511985546

ID: 10835562

This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning. This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to USE the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random Forests(TM), neural nets, support vector machines, nearest neighbors and boosting. eBooks, , Statistical Learning For Biomedical Data~~EBook~~9780511985546~~James D. Malley, Karen G. Malley, Sinisa Pajevic, , Statistical Learning For Biomedical Data, James D. Malley, 9780511985546, Cambridge University Press, 02/24/2011, , , , Cambridge University Press

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Statistical Learning for Biomedical Data - James D. Malley;Karen G. Malley;Sinisa Pajevic
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ISBN: 9780511985546

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[KW: MEDIZIN,ALLGEMEINES ,EPIDEMIOLOGY MEDICAL STATISTICS] MEDIZIN,ALLGEMEINES ,EPIDEMIOLOGY MEDICAL STATISTICS, [PU: Cambridge University Press]

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2011, ISBN: 9780511985546

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EAN (ISBN-13): 9780511985546
Erscheinungsjahr: 2011
Herausgeber: Cambridge University Press

Buch in der Datenbank seit 25.11.2007 02:00:34
Buch zuletzt gefunden am 08.11.2017 01:57:42
ISBN/EAN: 9780511985546

ISBN - alternative Schreibweisen:
978-0-511-98554-6


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