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Classifier fusion techniques using quality measures / Tarek Mamdouh Mostafa Ahmed ; Supervised Neamat Farouk Elgayar , Iman Elazab

By: Contributor(s): Material type: TextLanguage: English Publication details: Cairo : Tarek Mamdouh Mostafa Ahmed , 2012Description: 125 P. : charts , facsimiles ; 30cmOther title:
  • تقنيات دمج المصنفات باستخدام مواصفات الجودة [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology Summary: A single-classifier system usually suffers from practical limitations. Due to the non-linearity of features and the complexity of the classification problem, it is practically impossible to eliminate all the classification errors using a single classifier system. This is the main motivation behind multiple classifier systems MCS
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Item type Current library Home library Call number Copy number Status Barcode
Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.01.M.Sc.2012.Ta.C (Browse shelf(Opens below)) Not for loan 01010110059767000
CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.01.M.Sc.2012.Ta.C (Browse shelf(Opens below)) 59767.CD Not for loan 01020110059767000

Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology

A single-classifier system usually suffers from practical limitations. Due to the non-linearity of features and the complexity of the classification problem, it is practically impossible to eliminate all the classification errors using a single classifier system. This is the main motivation behind multiple classifier systems MCS

Issued also as CD

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