By Ulisses M. Braga Neto,Edward R. Dougherty
This ebook is the 1st of its variety to debate mistakes estimation with a model-based procedure. From the fundamentals of classifiers and blunder estimators to distributional and Bayesian conception, it covers vital themes and crucial concerns bearing on the medical validity of trend classification.
Error Estimation for trend reputation specializes in errors estimation, that is a wide and poorly understood subject that reaches all examine components utilizing development category. It comprises model-based ways and discussions of more moderen blunders estimators comparable to reinforced and Bayesian estimators. This e-book used to be inspired by means of the appliance of development attractiveness to high-throughput information with constrained replicates, that is a easy challenge now showing in lots of parts. the 1st chapters disguise simple concerns in class errors estimation, comparable to definitions, test-set mistakes estimation, and training-set mistakes estimation. the rest chapters during this ebook disguise effects at the functionality and illustration of training-set errors estimators for varied development classifiers.
Additional positive factors of the e-book include:
• the most recent effects at the accuracy of errors estimation
• functionality research of re-substitution, cross-validation, and bootstrap blunders estimators utilizing analytical and simulation approaches
• hugely interactive computer-based routines and end-of-chapter problems
This is the 1st booklet completely approximately errors estimation for development recognition.
Ulisses M. Braga Neto is an affiliate Professor within the division of electric and laptop Engineering at Texas A&M collage, united states. He acquired his PhD in electric and laptop Engineering from The Johns Hopkins college. Dr. Braga Neto obtained an NSF occupation Award for his paintings on blunders estimation for development reputation with functions in genomic sign processing. he's an IEEE Senior Member.
Edward R. Dougherty is a unique Professor, Robert F. Kennedy ’26 Chair, and medical Director on the middle for Bioinformatics and Genomic platforms Engineering at Texas A&M college, united states. he's a fellow of either the IEEE and SPIE, and he has got the SPIE Presidents Award. Dr. Dougherty has authored numerous books together with Epistemology of the phone: A structures standpoint on organic wisdom and Random techniques for photograph and sign Processing (Wiley-IEEE Press).
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Error Estimation for Pattern Recognition (IEEE Press Series on Biomedical Engineering) by Ulisses M. Braga Neto,Edward R. Dougherty