L"name: isip_svm_learn\nsynopsis: isip_svm_learn -params_file params.sof -pos_examples pos_examples.sof[list of in-class identifiers] -neg_examples neg_examples.sof[list of out-of-class identifiers] [options]\ndescription: a support vector machine trainer that computes the support vector model\nexample: isip_svm_classify -params_file params.sof -pos_examples pos_examples.sof -neg_examples neg_examples.sof \n\noptions:\n\n -penalty: training error vs margin trade-off parameter (default 50)\n -epsilon: allowable error for QP termination criterion (default 0.001)\n -tolerance: inaccuracies allowed around the KKT conditions (default 0.001)\n -kappa: kappa parameter of the sigmoid kernel (default 1.0)\n -delta: delta parameter of the sigmoid kernel (default 1.0)\n -degree: degree parameter of the polynomial kernel (default 3.0)\n -gamma: gamma parameter of the rbf kernel (default 0.5)\n -verbosity: verbosity level (default = NONE)\n\narguments: none\n\nman page: $ISIP/util/speech/isip_svm_learn/index.html\n\n* Many other classification parameters can be set from the command line.  More \ndetails on these can be found in the tutorial.\n" 
