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Paradigms in Measure Theoretic Learning and in Informant Learning

โœ Scribed by Franco Montagna; Giulia Simi

Book ID
111562301
Publisher
Springer Netherlands
Year
1999
Tongue
English
Weight
814 KB
Volume
62
Category
Article
ISSN
0039-3215

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This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It compares the performance of ITL algorithms with the second order counterparts in many applications.