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Fast Monte Carlo Algorithms for Matrices III: Computing a Compressed Approximate Matrix Decomposition. ... Knowledge and Information Systems 29:2, 457478.
Mining Investment Risk Analysis Based on Monte Carlo Simulation Jiang Wei School of Information and Safety Engineering Zhongnan University of Economics
This function performs a Monte Carlo experiment with the goal of estimating the performance of a learner on a data set. This is a generic function in the sense that ...
Monte Carlo Simulation (MCS), originally developed in the 1940s for use in nuclear weapons design, is playing an increasing role in commercial applications, including ...
In any data mining applications ... we use Monte Carlo method to sample and to build ... (2003) Parallel Monte Carlo algorithms for information retrieval. Mathematics ...
Parallel Monte Carlo algorithms for information retrieval. Alexandrov, Dimov, A. Karaivanova and Tan. Mathematics and Computers in Simulation (MATCOM
The flow of the Monte Carlo simulation program is presented with particular ... More information ... Computer Monte Carlo simulation in quantitative resource ...
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A MonteCarlo based method for the identification of potential sewer mining locations I. K. Tsoukalas*, C. K. Makropoulos* and S. N. Michas**
The distribution of the dimension varying joint state is sampled efficiently by a Reversible Jump Markov Chain Monte Carlo (RJMCMC) ...
What is Monte Carlo Simulation? Monte Carlo simulation lets you see all the possible outcomes of your decisions and assess the impact of risk, allowing for better ...
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2 1 Introduction Monte Carlo simulation is the most popular approach in computational finance for determining the prices of financial options.
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