Academic Journal

An explicit description of the reproducing kernel Hilbert spaces of Gaussian RBF kernels

التفاصيل البيبلوغرافية
العنوان: An explicit description of the reproducing kernel Hilbert spaces of Gaussian RBF kernels
المؤلفون: Ingo Steinwart, Don Hush, Clint Scovel
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://www.c3.lanl.gov/ml/pubs/2004_explicit/paper.pdf.
سنة النشر: 2005
المجموعة: CiteSeerX
مصطلحات موضوعية: Index Terms, Learning Theory, Support Vector Machines, Gaussian RBF Kernels
الوصف: Although Gaussian RBF kernels are one of the most often used kernels in modern machine learning methods such as support vector machines (SVMs), little is known about the structure of their reproducing kernel Hilbert spaces (RKHSs). In this work we give two distinct explicit descriptions of the RKHSs corresponding to Gaussian RBF kernels and discuss some consequences. Furthermore, we present an orthonormal system for these spaces. Finally we discuss how our results can be used for analyzing the learning performance of SVMs.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.99.107; http://www.c3.lanl.gov/ml/pubs/2004_explicit/paper.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.99.107
http://www.c3.lanl.gov/ml/pubs/2004_explicit/paper.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.810DCD46
قاعدة البيانات: BASE