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A note on error bounds for approximation in inner product spaces
Authors:Ajit Dingankar  Irwin W. Sandberg
Affiliation:(1) IBM Corporation, 11400 Burnet Road, 78758 Austin, Texas;(2) Department of Electrical and Computer Engineering, The University of Texas at Austin, 78712 Austin, Texas
Abstract:In a recent paper a method is described for constructing certain approximations to a general element in the closure of the convex hull of a subset of an inner product space. This is of interest in connection with neural networks. Here we give an algorithm that generates simpler approximants with somewhat less computational cost.
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