?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Faster+Training+in+Nonlinear+ICA+using+MISEP&rft.creator=Almeida%2C+Luis+B.&rft.subject=Statistical+Models&rft.subject=Machine+Learning&rft.subject=Neural+Nets&rft.description=MISEP+has+been+proposed+as+a+generalization+of+the+INFOMAX+method+in+two+directions%3A+(1)+handling+of+nonlinear+mixtures%2C+and+(2)+learning+the+nonlinearities+to+be+used+at+the+outputs%2C+making+the+method+suitable+to+the+separation+of+components+with+a+wide+range+of+statistical+distributions.+In+all+implementations+up+to+now%2C+MISEP+had+used+multilayer+perceptrons+(MLPs)+to+perform+the+nonlinear+ICA+operation.+Use+of+MLPs+sometimes+leads+to+a+relatively+slow+training.+This+has+been+attributed%2C+at+least+in+part%2C+to+the+non-local+character+of+the+MLP's+units.+This+paper+investigates+the+possibility+of+using+a+network+of+radial+basis+function+(RBF)+units+for+performing+the+nonlinear+ICA+operation.+It+shows+that+the+local+character+of+the+RBF+network's+units+allows+a+significant+speedup+in+the+training+of+the+system.+The+paper+gives+a+brief+introduction+to+the+basics+of+the+MISEP+method%2C+and+presents+experimental+results+showing+the+speed+advantage+of+using+an+RBF-based+network+to+perform+the+ICA+operation.&rft.date=2002&rft.type=Conference+Paper&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F2691%2F1%2FAlmeidaICA2003.pdf&rft.identifier=++Almeida%2C+Luis+B.++(2002)+Faster+Training+in+Nonlinear+ICA+using+MISEP.++%5BConference+Paper%5D++++(Unpublished)++&rft.relation=http%3A%2F%2Fcogprints.org%2F2691%2F