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A note on least-squares learning mechanism

โœ Scribed by M.C. Chang; C.Y.Cyrus Chu; Kenneth S. Lin


Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
220 KB
Volume
19
Category
Article
ISSN
0165-1889

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In this note, we present two results on the scaled total least squares problem. First, we discuss the relation between the scaled total least squares and the least squares problems. We derive an upper bound for the difference between the scaled total least squares solution and the least squares solu