SPIDER The Spider Objects
RSC_LEARN reduced set construction - learning pre-images a = rsc_learn(alg,hyper) generates a rsc object, using the learning pre-images method hyperparameters: child=svm algorithm worked on rsv=.5 if rsv e [0,1): #rsv = #sv * rsv if rsv > 1: #rsv ridge=1e-5 ridge for ridge regression rr_k=rbf,1 kernel for regression estimation 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_learn(a,'rsv=.9'),d); test(a2,d,loss) author: goekhan BakIr, philipp berens reference: learning to find pre-images, G. BakIr, 2004