logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Hybrid Classifiers Methods Of Data Knowledge And Classifier Combination 1st Edition Michal Wozniak Auth

  • SKU: BELL-4342654
Hybrid Classifiers Methods Of Data Knowledge And Classifier Combination 1st Edition Michal Wozniak Auth
$ 31.00 $ 45.00 (-31%)

4.7

36 reviews

Hybrid Classifiers Methods Of Data Knowledge And Classifier Combination 1st Edition Michal Wozniak Auth instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 3.24 MB
Pages: 217
Author: Michal Wozniak (auth.)
ISBN: 9783642409967, 9783642409974, 3642409962, 3642409970
Language: English
Year: 2014
Edition: 1

Product desciption

Hybrid Classifiers Methods Of Data Knowledge And Classifier Combination 1st Edition Michal Wozniak Auth by Michal Wozniak (auth.) 9783642409967, 9783642409974, 3642409962, 3642409970 instant download after payment.

This book delivers a definite and compact knowledge on how hybridization can help improving the quality of computer classification systems. In order to make readers clearly realize the knowledge of hybridization, this book primarily focuses on introducing the different levels of hybridization and illuminating what problems we will face with as dealing with such projects. In the first instance the data and knowledge incorporated in hybridization were the action points, and then a still growing up area of classifier systems known as combined classifiers was considered. This book comprises the aforementioned state-of-the-art topics and the latest research results of the author and his team from Department of Systems and Computer Networks, Wroclaw University of Technology, including as classifier based on feature space splitting, one-class classification, imbalance data, and data stream classification.

Related Products