?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=MISEP+-+Linear+and+Nonlinear+ICA+Based+on+Mutual+Information&rft.creator=Almeida%2C+Luis+B.&rft.subject=Statistical+Models&rft.subject=Machine+Learning&rft.subject=Artificial+Intelligence&rft.description=MISEP+is+a+method+for+linear+and+nonlinear+ICA%2C+that+is+able+to+handle+a+large+variety+of+situations.+It+is+an+extension+of+the+well+known+INFOMAX+method%2C+in+two+directions%3A+(1)+handling+of+nonlinear+mixtures%2C+and+(2)+learning+the+nonlinearities+to+be+used+at+the+outputs.+The+method+can+therefore+separate+linear+and+nonlinear+mixtures+of+components+with+a+wide+range+of+statistical+distributions.%0A%0AThis+paper+presents+the+basis+of+the+MISEP+method%2C+as+well+as+experimental+results+obtained+with+it.+The+results+illustrate+the+applicability+of+the+method+to+various+situations%2C+and+show+that%2C+although+the+nonlinear+blind+separation+problem+is+ill-posed%2C+use+of+regularization+allows+the+problem+to+be+solved+when+the+nonlinear+mixture+is+relatively+smooth.&rft.publisher=Elsevier&rft.contributor=Oja%2C+Erkki&rft.contributor=Harmeling%2C+Stefan&rft.contributor=Almeida%2C+Luis+B.&rft.date=2003&rft.type=Journal+(On-line%2FUnpaginated)&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F2856%2F1%2FAlmeidaSigProc2003.pdf&rft.identifier=++Almeida%2C+Luis+B.++(2003)+MISEP+-+Linear+and+Nonlinear+ICA+Based+on+Mutual+Information.++%5BJournal+(On-line%2FUnpaginated)%5D++++(Unpublished)++&rft.relation=http%3A%2F%2Fcogprints.org%2F2856%2F