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العنوان
Symbolic and numerical machine learning techniques =
الناشر
Ashraf said ahmed El-sayed,
المؤلف
El-sayed, Ashraf said ahmed.
هيئة الاعداد
مشرف / مصطفى حسين فهمى
مشرف / صالح الشهابى
باحث / اشرف سعيد احمد السيد
مشرف / مصطفى فهمى
الموضوع
Learning technologies. Numerical mathematics and scientific computation.
تاريخ النشر
2003 .
عدد الصفحات
91 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الرياضيات
تاريخ الإجازة
1/1/2003
مكان الإجازة
جامعة الاسكندريه - كلية العلوم - mathematics
الفهرس
Only 14 pages are availabe for public view

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Abstract

Machine learning as a one of the important fields of Artificial intelligence, has proven to be a fruitful area of research, spawning a number of different problems and Algorithms. These algorithms vary in their goals, in the available training data sets, in the learning strategies and in representation of data. All of these algorithms are concerned in searching through n- dimensional space of a given training data set to find an acceptable generalization. Machine learning is concerned with the question of how to make computer programs automatically improve with experience.