SOBOL', I. M. The Monte Carlo method. The University of Chicago Press, 1974. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Prototype and Feature Selection by Sampling and Random.. - David Skalak Department (1994) (84 citations) (Correct)
....Personal communication. 4 2 The Algorithms 2.1 Monte Carlo (MC1) As a general matter, Monte Carlo methods provide approximate solutions to mathematical and scientific problems through repeated stochastic trials. The results of independent trials are combined in some fashion, usually averaged [Sobol , 1974] . The method has been applied to many problems in such domains as numerical integration, statistical physics, quality control and particle physics. The algorithm described in this section, called MC1, is a simple application of repeated sampling of the data set, where sampling is done with ....
Sobol', I. M. 1974. The Monte Carlo Method. The University of Chicago Press, Chicago, IL.
Prototype Selection for Composite Nearest Neighbor Classifiers - Skalak (1995) (10 citations) (Correct)
....with different similarity metrics. 4.4.2 Monte Carlo (MC1) As a general matter, Monte Carlo methods provide approximate solutions to mathematical and scientific problems through repeated stochastic trials. The results of independent trials are combined in some fashion, usually averaged [ Sobol , 1974 ] The method has been applied to many problems in such domains as numerical integration, statistical physics, quality control and particle physics. The algorithm described in this section, called MC1, is a simple application of repeated sampling of the data set, where sampling is done with ....
Sobol', I. M. 1974. The Monte Carlo Method. The University of Chicago Press, Chicago, IL.
Prototype and Feature Selection by Sampling and Random Mutation.. - Skalak (1994) (84 citations) (Correct)
....different similarity metrics. 2 The Algorithms 2.1 Monte Carlo (MC1) As a general matter, Monte Carlo methods provide approximate solutions to mathematical and scientific problems through repeated stochastic trials. The results of independent trials are combined in some fashion, usually averaged [Sobol , 1974] . The method has been applied to many problems in such domains as numerical integration, statistical physics, quality control and particle physics. The algorithm described in this section, called MC1, is a simple application of repeated sampling of the data set, where sampling is done with ....
Sobol', I. M. 1974. The Monte Carlo Method. The University of Chicago Press, Chicago, IL.
User's Manual for Environmental programs - Mech, Prusinkiewicz (1998) (Correct)
No context found.
SOBOL', I. M. The Monte Carlo method. The University of Chicago Press, 1974.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC