Method for adapting the regularization parameter of weak continuity

N. D. Sidiropoulos, J. S. Baras

Research output: Contribution to journalArticle

Abstract

We invoke a basic lemma from the theory of so-called penalty methods of nonlinear programming to come up with a simple yet highly efficient block-adaptive training procedure that selects a suitable Weak Continuity (WC) regularization parameter by matching the complexity (`prior') of the resulting solution to that of a desired response. The matching is achieved using a simple binary search technique that is guaranteed to converge in very few steps; as such, it avoids many of the potential pitfalls of other iterative methods.

Original languageEnglish (US)
Pages (from-to)1009-1013
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
StatePublished - Jan 1 1997

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