An improved SVM incremental learning algorithm for- based on error-driven incremental SVM algorithm, improved the way of the the original Incremental learning algorithm of on the the the processing of the non-SV set, will non-the SV Set Pair the classified information also taken into account, greatly improving theSVM the progress of the the identification.

Error-driven SVM
................\data.mat
................\divide.m
................\incremental.m
................\incremental1.m
................\knnclassify.m
................\knnimpute.m
................\linear_kernel.m
................\mlp_kernel.m
................\optimalleaforder.m
................\poly_kernel.m
................\quadratic_kernel.m
................\randfeatures.m
................\rankfeatures.m
................\rbf_kernel.m
................\samplealign.m
................\seqminopt.m
................\svmclassify.m
................\svmdecision.m
................\svmplotdata1.m
................\svmplotsvs1.m
................\svmsmoset.m
................\svmtrain1.m

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