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| 003 | EG-GiCUC | ||
| 005 | 20250223030242.0 | ||
| 008 | 100715s2010 ua h f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.13.06.M.Sc.2010.Kh.S | ||
| 100 | 0 | _aKhaled Saeed SaadZaghloul Aliy Refaat | |
| 245 | 1 | 4 |
_aThe sopport vector machined kernel : _bTowards a new classification framework / _cKhaled Saeed Saad Zaghloul Aliy Refaat ; Supervised Amir F. Atiya |
| 246 | 1 | 5 |
_aالنواة المتجهية الداعمة: _bنحو منهجية جديدة للتصنيف |
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_aCairo : _bKhaled Saeed SaadZaghloul Aliy Refaat , _c2010 |
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_a65 P. : _bfacsimiles ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering | ||
| 520 | _aWe 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 | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aKernel | |
| 653 | 4 | _aSimilarity | |
| 653 | 4 | _aSupport vector machine | |
| 700 | 0 |
_aAmir Fouad Atiya , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
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_aNazla _eRevisor |
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_aSoheir _eCataloger |
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_2ddc _cTH |
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_c30813 _d30813 |
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