Changeset 188
- Timestamp:
- Oct 20, 2004, 5:54:56 PM (18 years ago)
- File:
-
- 1 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/src/SVM.h
r167 r188 72 72 /// 73 73 /// Training the SVM following Platt's SMO, with Keerti's 74 /// modifacation. However the complete kernel is stored in memory. The 75 /// reason for this is speed. When number of samples N is large this is 76 /// not possible since the memory cost for the kernel scales N^2. In that 77 /// case one should follow the SMO and calculate the kernel elements 78 /// sequentially 74 /// modifacation. However the complete kernel is stored in 75 /// memory. The reason for this is speed. When number of samples N 76 /// is large this is not possible since the memory cost for the 77 /// kernel scales N^2. In that case one should follow the SMO and 78 /// calculate the kernel elements sequentially. Minimizing \f$ 79 /// \frac{1}{2}\sum 80 /// y_iy_j\alpha_i\alpha_j(K_{ij}+\frac{1}{C_i}\delta_{ij}) \f$, 81 /// which corresponds to minimizing \f$ \sum w_i^2+\sum 82 /// C_i\xi_i^2 \f$ 79 83 /// 80 84
Note: See TracChangeset
for help on using the changeset viewer.