Accession Number : ADA292818
Title : Stochastic Learning Dynamics and Non-Linear Dimension Reduction.
Descriptive Note : Final rept. 1 Apr 93-31 Mar 94,
Corporate Author : OREGON GRADUATE INST BEAVERTON
Personal Author(s) : Leen, Todd K.
PDF Url : ADA292818
Report Date : 31 MAR 1994
Pagination or Media Count : 20
Abstract : This reports cover research activity under the grant in place from April 1993 through March 1994. Our research addressed algorithms and theory for stochastic learning, non-linear extensions of principal component analysis (PCA) for dimension-reduction, network pruning and methods to incorporate desired invariances into learning. (AN)
Descriptors : *ALGORITHMS, *STOCHASTIC PROCESSES, *LEARNING MACHINES, *NONLINEAR SYSTEMS, MATHEMATICAL MODELS, IMAGE PROCESSING, NEURAL NETS, OPTIMIZATION, DATA MANAGEMENT, DISTRIBUTED DATA PROCESSING, APPROXIMATION(MATHEMATICS), CONVERGENCE, PATTERN RECOGNITION, PERTURBATIONS, DYNAMIC PROGRAMMING.
Subject Categories : Cybernetics
Distribution Statement : APPROVED FOR PUBLIC RELEASE