Can I read Universality of Unlearning on EtoBox?

Universality of Unlearning by Stefan Wimbauer; Nikolaus Klemmer; J. Leo van Hemmen is a Computer Science article available to read on EtoBox.

What is Universality of Unlearning about?

Unlearmng, a reverse process to learnmg accordmg to Hebb's rule, is a local and unsupervtsed procedure that gtves rtse to a substanttal improvement of the retrwval properties of an assoctative neural network (i) an enhancement of both the storage capactty and the domains of attractton, (li) the posstbthty to store correlated patterns, and ( lii ) the capabihty to dlstmgutsh between patterns and nonretrteval states Three dtfferent versions of this type of algorithm are introduced and the common underlymg mechamsms are explained Furthermore, unlearnmg ~s apphed to the storage of temporal sequences of correlated patterns that have been learned m a purely Hebblan way

Who reads Universality of Unlearning?

Author

Stefan Wimbauer; Nikolaus Klemmer; J. Leo van Hemmen

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0893-6080)

Published

1994

Language

EN

Field

Computer Science (Physical Sciences)