?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=How+to+Make+a+Low-Dimensional+Representation+Suitable+for+Diverse+Tasks&rft.creator=Intrator%2C+Nathan&rft.creator=Edelman%2C+Shimon&rft.subject=Cognitive+Psychology&rft.description=We+consider+training+classifiers+for+multiple+tasks+as+a+method+for+improving+generalization+and+obtaining+a+better+low-dimensional+representation.+To+that+end%2C+we+introduce+a+hybrid+training+methodology+for+MLP+networks%3B+the+utility+of+the+hidden-unit+representation+is+assessed+by+embedding+it+into+a+2D+space+using+multidimensional+scaling.+The+proposed+methodology+is+tested+on+a+highly+nonlinear+image+classification+task.&rft.date=1996&rft.type=Preprint&rft.type=NonPeerReviewed&rft.format=application%2Fpostscript&rft.identifier=http%3A%2F%2Fcogprints.org%2F571%2F2%2F199711005.ps&rft.identifier=++Intrator%2C+Nathan+and+Edelman%2C+Shimon++(1996)+How+to+Make+a+Low-Dimensional+Representation+Suitable+for+Diverse+Tasks.++%5BPreprint%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F571%2F