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Books > Professional & Technical > Biochemical engineering > Biotechnology
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Error Estimation for Pattern Recognition (Hardcover)
Loot Price: R3,423
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Error Estimation for Pattern Recognition (Hardcover)
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This book is the first of its kind to discuss error estimation with
a model-based approach. From the basics of classifiers and error
estimators to distributional and Bayesian theory, it covers
important topics and essential issues pertaining to the scientific
validity of pattern classification. Error Estimation for Pattern
Recognition focuses on error estimation, which is a broad and
poorly understood topic that reaches all research areas using
pattern classification. It includes model-based approaches and
discussions of newer error estimators such as bolstered and
Bayesian estimators. This book was motivated by the application of
pattern recognition to high-throughput data with limited
replicates, which is a basic problem now appearing in many areas.
The first two chapters cover basic issues in classification error
estimation, such as definitions, test-set error estimation, and
training-set error estimation. The remaining chapters in this book
cover results on the performance and representation of training-set
error estimators for various pattern classifiers. Additional
features of the book include: - The latest results on the accuracy
of error estimation - Performance analysis of re-substitution,
cross-validation, and bootstrap error estimators using analytical
and simulation approaches - Highly interactive computer-based
exercises and end-of-chapter problems This is the first book
exclusively about error estimation for pattern recognition. Ulisses
M. Braga Neto is an Associate Professor in the Department of
Electrical and Computer Engineering at Texas A&M University,
USA. He received his PhD in Electrical and Computer Engineering
from The Johns Hopkins University. Dr. Braga Neto received an NSF
CAREER Award for his work on error estimation for pattern
recognition with applications in genomic signal processing. He is
an IEEE Senior Member. Edward R. Dougherty is a Distinguished
Professor, Robert F. Kennedy '26 Chair, and Scientific Director at
the Center for Bioinformatics and Genomic Systems Engineering at
Texas A&M University, USA. He is a fellow of both the IEEE and
SPIE, and he has received the SPIE Presidents Award. Dr. Dougherty
has authored several books including Epistemology of the Cell: A
Systems Perspective on Biological Knowledge and Random Processes
for Image and Signal Processing (Wiley-IEEE Press).
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