Error Estimation for Pattern Recognition
|Price||$100.81 - $121.50
|Authors||Ulisses M. Braga Neto, Edward R. Dougherty|
|Format||Paper book / ebook (PDF)|
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.
by Andrew R. Webb, Keith D. Copsey
Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval,...
Price: $62.99 | Publisher: Wiley | Release: 2011
by Andrea Cerioli, Marco Riani, Francesca Torti
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional class...
Price: $148.49 | Publisher: Springer | Release: 2013
by Patricia Melin, Janusz Kacprzyk, Witold Pedrycz
We describe in this book, bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-...
Price: $146.58 | Publisher: Springer | Release: 2010
by Michael Paluszek, Stephanie Thomas
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides ...
Price: $24.63 | Publisher: Apress | Release: 2019
by Scott Riley
Learn to create seamless designs backed by a responsible understanding of the human mind. This book examines how human behavior can be used to integrate your product design into lifestyle, rather than interrupt it, and make decisions for the good of those that are using your product. Mindful Design introduces the areas of brain science th...
Price: $34.66 | Publisher: Apress | Release: 2019
by Ludmila I. Kuncheva
A unified, coherent treatment of current classifier ensemble methods, from fundamentals of pattern recognition to ensemble feature selection, now in its second editionThe art and science of combining pattern classifiers has flourished into a prolific discipline since the first edition of Combining Pattern Classifiers was published in 2004...
Price: $59.79 | Publisher: Wiley | Release: 2014
by Evan Stubbs
Your business generates reams of data, but what do you do with it? Reporting is only the beginning. Your data holds the key to innovation and growth - you just need the proper analytics. In Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics, author Evan Stubbs explores the potential gold hiding in yo...
Price: $38.24 | Publisher: Wiley | Release: 2014
by Jan Erik Solem
If you want a basic understanding of computer vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. You'll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python.Program...
Price: $31.87 | Publisher: O'Reilly Media | Release: 2012