Khaled Saeed SaadZaghloul Aliy Refaat <br/><br/>
The sopport vector machined kernel :   Towards a new classification framework /  
 النواة المتجهية الداعمة:   نحو منهجية جديدة للتصنيف 
Khaled Saeed Saad Zaghloul Aliy Refaat ; Supervised Amir F. Atiya 
 - Cairo :   Khaled Saeed SaadZaghloul Aliy Refaat ,   2010 
 - 65 P. :   facsimiles ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering 
<br/><br/> 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 
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<br/><br/><label>Subjects--Index Terms: </label>Kernel Similarity Support vector machine