An Improved Conjugate Gradient Scheme to The Solution of Least Squares SVM  

Oleh:

Wei Chu ; Chong Jin Ong ; Keerthi, S. Sathiya

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 16 no. 2 (Mar. 2005), page 498-500.
Topik: least squares method; conjugate gradient scheme; solution; least squares SVM

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.12 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

The least square support vector machines (LS - SVM) formulation corresponds to the solution of a linear system of equations. Several approaches to its numerical solutions have been proposed in the literature. In this letter, we propose an improved method to the numerical solution of LS - SVM and show that the problem can be solved using one reduced system of linear equations. Compared with the existing algorithm for LS - SVM, the approach used in this letter is about twice as efficient. Numerical results using the proposed method are provided for comparisons with other existing algorithms.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali