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J-GLOBAL ID:201002258505796683   Reference number:10A0271362

Multi-Domain Adaptive Learning Based on Feasibility Splitting and Adaptive Projected Subgradient Method

実現可能性分割に基づいた多領域適応学習および適応劣勾配射影法
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Volume: E93-A  Issue:Page: 456-466  Publication year: Feb. 01, 2010 
JST Material Number: F0699C  ISSN: 0916-8508  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
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Artificial intelligence 
Reference (44):
  • CENSOR, Y. A multiprojection algorithm using Bregman projections in a product space. Numerical Algorithms. 1994, 8, 2, 221-239
  • BYRNE, C. Bregman-Legendre multidistance projection algorithms for convex feasibility and optimization. Inherently Parallel Algorithms in Feasibility and Optimization and Their Applications. 2001, 87-100
  • BYRNE, C. Iterative oblique projection onto convex sets and the split feasibility problem. Inverse Problems. 2002, 18, 441-453
  • CENSOR, Y. The multiple-sets split feasibility problem and its applications for inverse problems. Inverse Problems. 2005, 21, 2071-2084
  • CAUCHY, A. Methode generale pour la resolution des systemes d'equations simultanees. C.R. Acad. Sci. Paris. 1847, 25, 536-538
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