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Learning, Regularization and Ill-Posed Inverse Problems.
2004Many works have shown that strong connections relate learning from examples to regularization techniques for ill-posed inverse problems. Nevertheless by now there was no formal evidence neither that learning from examples could be seen as an inverse problem nor that theoretical results in learning theory could be independently derived using tools from ...
ROSASCO, LORENZO +4 more
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International Journal of Mathematics Trends and Technology, 2019
K Saranya, Ms.N Rajakumari
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K Saranya, Ms.N Rajakumari
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Regularization of Ill-Posed Problems.
1978Abstract : Some examples of linear ill-posed problems in engineering are given and a general class of regularization methods for ill-posed linear operator equations is studied. Rates of convergence for the general method are estabished under various assumptions on the data. Applications are given to a number of iterative and noniterative regularization
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Analysis of Discrete Ill-Posed Problems by Means of the L-Curve
SIAM Review, 1992Per Christian Hansen
exaly
REGULARIZATION TOOLS: A Matlab package for analysis and solution of discrete ill-posed problems
Numerical Algorithms, 1994Per Christian Hansen +1 more
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The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems
SIAM Journal of Scientific Computing, 1993Per Christian Hansen
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Optimality for ill-posed problems under general source conditions
Numerical Functional Analysis and Optimization, 1998Ulrich Tautenhahn
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