Consistency Analysis of Spectral Regularization Algorithms
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We investigate the consistency of spectral regularization algorithms. We generalize the usual definition of regularization function to enrich the content of spectral regularization algorithms. Under a more general prior condition, using refined error decompositions and techniques of operator norm estimation, satisfactory error bounds and learning rates are proved.
1996 ◽
Vol 11
(16)
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pp. 1331-1337
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1981 ◽
Vol 4
(2)
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pp. 184-187
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1973 ◽
Vol 10
(03)
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pp. 572-585
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1963 ◽
Vol 4
(11)
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pp. 703-709
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1985 ◽
Vol 15
(4)
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pp. 734-737
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1994 ◽
Vol 09
(07)
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pp. 1153-1180
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2014 ◽
Vol 24
(02)
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pp. 189-205
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