# Changeset 188

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Timestamp:
Oct 20, 2004, 5:54:56 PM (18 years ago)
Message:

docs

File:
1 edited

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 r167 /// /// Training the SVM following Platt's SMO, with Keerti's /// modifacation. However the complete kernel is stored in memory. The /// reason for this is speed. When number of samples N is large this is /// not possible since the memory cost for the kernel scales N^2. In that /// case one should follow the SMO and calculate the kernel elements /// sequentially /// modifacation. However the complete kernel is stored in /// memory. The reason for this is speed. When number of samples N /// is large this is not possible since the memory cost for the /// kernel scales N^2. In that case one should follow the SMO and /// calculate the kernel elements sequentially. Minimizing \f$/// \frac{1}{2}\sum /// y_iy_j\alpha_i\alpha_j(K_{ij}+\frac{1}{C_i}\delta_{ij}) \f$, /// which corresponds to minimizing \f$\sum w_i^2+\sum /// C_i\xi_i^2 \f$ ///