SPIDER The Spider Objects
Reduced set construction by C.Burges a = rsc_burges(alg,hyper) generates a rsc object, using the burges method hyperparameters: child=svm algorithm worked on rsv=.5 if rsv e [0,1): #rsv = #sv * rsv if rsv > 1: #rsv max_it=100 maximum of iterations for gradient descent eps=1e-5 epsilon phase2=yes perform burges phase2 ? minimizer=1 (1) gradient descent (0) conj. gradient stv=3 number of restarts deriv='der_rbf' use function, which name is supplied as string, as function to calculate d||w-w*||^2/dz_l if set to 'num', usee numerical derivative instead model: alpha new alphas for rs-vectors Xsv rs vectors stats: w2=0 final value of ||w-w*||^2 delta_w=0 total decrease in ||w-w*||^2 dw=0 run through delta_w methods: train constructs a reduced set, returns trained rs-machine test tests new rs-machine on supplied data example: d=gen(toy2d('2circles','l=100')); [r,a]=train(svm({kernel('rbf',1),'C=10000','alpha_cutoff=1e-2'}),d); [r,a2]=train(rsc_burges(a,'rsv=.9'),d); test(a2,d,loss); author: chris burges reference: simplified sv decision rules, 1996