Model Selection Criteria for a Linear Model to Solve Discrete Ill-Posed Problems on the Basis of Singular Decomposition and Random Projection
作者： E. G. Revunova
DOI: 10.1007/S10559-016-9868-4
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摘要: Criteria are developed to determine the optimal number of components a linear model in solving discrete ill-posed problem by methods truncated singular value decomposition and random projection. To this end, behavior dependencies error vector solution restoration right side on dimensionality their minima is investigated. An experimental investigation criteria was also pursued its results provided.
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