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@article{MZM_2005_78_2_a3, author = {V. V. Galatenko and E. D. Livshits}, title = {Generalized {Approximate} {Weak} {Greedy} {Algorithms}}, journal = {Matemati\v{c}eskie zametki}, pages = {186--201}, publisher = {mathdoc}, volume = {78}, number = {2}, year = {2005}, language = {ru}, url = {http://geodesic.mathdoc.fr/item/MZM_2005_78_2_a3/} }
V. V. Galatenko; E. D. Livshits. Generalized Approximate Weak Greedy Algorithms. Matematičeskie zametki, Tome 78 (2005) no. 2, pp. 186-201. http://geodesic.mathdoc.fr/item/MZM_2005_78_2_a3/
[1] Gribonval R., Nielsen M., “Approximate weak greedy algorithms”, Adv. Comput. Math., 14:4 (2001), 361–378 | DOI | MR | Zbl
[2] Temlyakov V. N., “Weak greedy algorithms”, Adv. Comput. Math., 12:2–3 (2000), 213–227 | DOI | MR | Zbl
[3] Friedman J. H., Stueuzle W., “Projection pursuit regression”, J. Amer. Statist. Assoc., 76 (1981), 817–823 | DOI | MR
[4] Mallat S., Zhang Z., “Matching pursuit with time-frequency dictionaries”, IEEE Trans. Signal Process, 41:12 (1993), 3397–3415 | DOI | Zbl
[5] Jones L. K., “On a conjecture of Huber concerning the convergence of PP-regression”, Ann. Statist., 15 (1987), 880–882 | DOI | MR
[6] Jones L., “A simple lemma on greedy approximation in Hilbert space and convergence rates for projection pursuit regression and network training”, Ann. Statist., 20 (1992), 608–613 | DOI | MR | Zbl
[7] Rejtő L., Walter G. G., “Remarks on ptojection pursuit regression and density estimation”, Stochastic Anal. Appl., 10 (1992), 213–222 | DOI | Zbl
[8] Livshits E. D., Temlyakov V. N., “O skhodimosti slabogo gridi-algoritma”, Tr. MIAN, 232, Nauka, M., 2001, 236–247
[9] Temlyakov V. N., A criterion for convergence of weak greedy algorithms, http://www.math.sc.edu/\allowbreakĩmip/00.html
[10] Galatenko V. V., Livshitz E. D., “On the convergence of approximate weak greedy algorithms”, East J. Approx., 9:1 (2003), 43–49 | Zbl