Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination: 519 (Studies in Computational Intelligence) - Softcover

Críticas

From the book reviews:

“The author presents an up-to-date review of recent advances in this area. ... this is a very interesting, complete, and up-to-date book about various aspects of machine learning and decision making using hybrid classifiers. Although the author makes this book accessible to students and practitioners, it is probably more oriented to advanced undergraduate or graduate courses focused on improving machine learning methods and applications.” (Fernando Osorio, Computing Reviews, July, 2014)

Reseña del editor

This book details how hybridization can help improve the quality of computer classification systems. It introduces the different levels of hybridization and illuminates common problems faced when dealing with such projects.