The Evidence Framework Applied to Support Vector Machines  

Oleh:

Kwok, James Tin-Yau

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 11 no. 5 (2000), page 1162-1173.
Topik: FRAMEWORK; evidence; framework; support vector machines

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.4 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

We show that training of the support vector machine (SVM) can be interpreted as performing the level 1 inference of MacKay's evidence framework (1992). We further on show that levels 2 and 3 of the evidence framework can also be applied to SVM s. This integration allows automatic adjustment of the regularization parameter and the kernel parameter to their near - optimal values. Moreover, it opens up a wealth of Bayesian tools for use with SVM s. Performance of this method is evaluated on both synthetic and real - world data sets.

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