header
Local cover image
Local cover image
Image from OpenLibrary

The sopport vector machined kernel : Towards a new classification framework / Khaled Saeed Saad Zaghloul Aliy Refaat ; Supervised Amir F. Atiya

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Khaled Saeed SaadZaghloul Aliy Refaat , 2010Description: 65 P. : facsimiles ; 30cmOther title:
  • النواة المتجهية الداعمة: نحو منهجية جديدة للتصنيف [Added title page title]
Subject(s): Online resources: Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering Summary: We propose the so-called "SVM'ed -kernel function" and its use in SVM classification problems . This kernel function is itself a support vector machine classifier that is learned statistically from the data . We show that the new kernel manages to change the classical methodology of defining a feature vector for each pattern . One will only need to define features representing the similarity beteen two patterns allowing many details to be captured in a concise way
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2010.Kh.S (Browse shelf(Opens below)) Not for loan 01010110053502000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2010.Kh.S (Browse shelf(Opens below)) 53502.CD Not for loan 01020110053502000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering

We propose the so-called "SVM'ed -kernel function" and its use in SVM classification problems . This kernel function is itself a support vector machine classifier that is learned statistically from the data . We show that the new kernel manages to change the classical methodology of defining a feature vector for each pattern . One will only need to define features representing the similarity beteen two patterns allowing many details to be captured in a concise way

Issued also as CD

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

Local cover image