header
Local cover image
Local cover image
Image from OpenLibrary

Hybrid optimization techniques for cancer diagnosis models / Nermeen Kamel Abdelmoniem ; Supervised L . F . Abdelal , N . H . Sweilam , A . A . Tharwat

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Nermeen Kamel Abdelmoniem , 2010Description: 90P. : charts , facsimiles ; 25cmOther title:
  • التقنيات الامثلية المهجنه لتشخيص مرض السرطان [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 Science - Department of Mathematics Summary: Suport vector machine has become an increasingly popular tool for machine learning tasks involving classification regression or novelty detection . Training a support vector machine requires the solution of a very large quadratic programming problem . Ttaditional optimization methods cannot be directly applied due to memory restrictions . Up to now several approaches exist for circumventing the above shortcomings and work well
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 Cai01.12.17.M.Sc.2010.Ne.H (Browse shelf(Opens below)) Not for loan 01010110054655000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.12.17.M.Sc.2010.Ne.H (Browse shelf(Opens below)) 54655.CD Not for loan 01020110054655000

Thesis (M.Sc.) - Cairo University - Faculty of Science - Department of Mathematics

Suport vector machine has become an increasingly popular tool for machine learning tasks involving classification regression or novelty detection . Training a support vector machine requires the solution of a very large quadratic programming problem . Ttaditional optimization methods cannot be directly applied due to memory restrictions . Up to now several approaches exist for circumventing the above shortcomings and work well

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