Matematičeskoe modelirovanie, Tome 6 (1994) no. 9, pp. 7-12
Citer cet article
D. Geiger; A. L. Yuille. Methods of statistical physics in modelling and optimization. Matematičeskoe modelirovanie, Tome 6 (1994) no. 9, pp. 7-12. http://geodesic.mathdoc.fr/item/MM_1994_6_9_a1/
@article{MM_1994_6_9_a1,
author = {D. Geiger and A. L. Yuille},
title = {Methods of statistical physics in modelling and optimization},
journal = {Matemati\v{c}eskoe modelirovanie},
pages = {7--12},
year = {1994},
volume = {6},
number = {9},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/MM_1994_6_9_a1/}
}
TY - JOUR
AU - D. Geiger
AU - A. L. Yuille
TI - Methods of statistical physics in modelling and optimization
JO - Matematičeskoe modelirovanie
PY - 1994
SP - 7
EP - 12
VL - 6
IS - 9
UR - http://geodesic.mathdoc.fr/item/MM_1994_6_9_a1/
LA - ru
ID - MM_1994_6_9_a1
ER -
%0 Journal Article
%A D. Geiger
%A A. L. Yuille
%T Methods of statistical physics in modelling and optimization
%J Matematičeskoe modelirovanie
%D 1994
%P 7-12
%V 6
%N 9
%U http://geodesic.mathdoc.fr/item/MM_1994_6_9_a1/
%G ru
%F MM_1994_6_9_a1
In recent years it has become common place to use methods of statistical physics and probability theory for the design of optimization algorithms for problems in vision, neural networks and brain development. These methods are used both to show unexpected relationship between existing theories and to design a natural class of algorithms.
