Error Estimation for Pattern Recognition

Discover the groundbreaking insights in Error Estimation for Pattern Recognition by Ulisses M. Braga Neto, published by John Wiley & Sons Inc in 2015. This comprehensive hardback edition spans 336 pages and is a must-read for anyone interested in the field of pattern recognition.

As the first book of its kind, it delves into the intricacies of error estimation through a model-based approach. Covering fundamental concepts such as classifiers and error estimators, as well as advanced topics in distributional and Bayesian theory, this book addresses crucial issues related to the scientific validity of pattern classification.

Whether you are a researcher, student, or professional in the field, Error Estimation for Pattern Recognition will equip you with the knowledge and tools necessary to enhance your understanding of error analysis in mathematics and pattern perception.