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110 of 64 Reviews about "
Probabilistic Algorithms (Including Monte Carlo) (G.3...)
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Date Reviewed
Probability and computing: randomization and probabilistic techniques in algorithms and data analysis (2nd ed.)
Mitzenmacher M., Upfal E., Cambridge University Press, New York, NY, 2017. 484 pp. Type: Book (9781107154889), Reviews: (2 of 2)
Probability in computer science plays the same role as in physics: while there is a large corpus of theories and methodologies based on a purely deterministic underpinning, the introduction of probability opens the door to a vast field...
Jul 10 2018
Probability and computing: randomization and probabilistic techniques in algorithms and data analysis (2nd ed.)
Mitzenmacher M., Upfal E., Cambridge University Press, New York, NY, 2017. 484 pp. Type: Book (9781107154889), Reviews: (1 of 2)
It is one of the great paradoxes of modern science that useful computation can be done by making random choices. This insight would be impressive even if the computation in question were contrived, but in many cases probabilistic algor...
Mar 15 2018
Bayesian methods in the search for MH370
Davey S., Gordon N., Holland I., Rutten M., Williams J., Springer International Publishing, New York, NY, 2016. 114 pp. Type: Book
One can seldom consider mathematicsheavy books as exciting pageturners. Yet,
Bayesian methods in the search for MH370
is so far the best one I have encountered that could stand up to such a description. Published by Springer i...
Apr 21 2017
Using evaluation functions in MonteCarlo tree search
Lorentz R. Theoretical Computer Science 644106113, 2016. Type: Article
Recently, the deep learning paradigm became popular as a consequence of the success of Go game playing. Generally, the investigation of twoplayer games can be considered a good laboratory for experimenting with algorithms that pursue ...
Dec 28 2016
Imprecise random variables, random sets, and Monte Carlo simulation
Fetz T., Oberguggenberger M. International Journal of Approximate Reasoning 78(C): 252264, 2016. Type: Article
The presented work considers the problem of evaluating upper and lower probabilities in systems characterized by imprecise random variables. According to the authors, “Methods of imprecise probability have increasingly attrac...
Nov 10 2016
Bayes’ rule: a tutorial introduction to Bayesian analysis
Stone J., Sebtel Press, Lexington, KY, 2013. 180 pp. Type: Book (9780956372840)
Data is everywhere these days. Big data is certainly a hot topic, but “small data” is often important as well. For instance, in computer vision, there may be a good model for a scene, but parameters of that model ar...
Jun 11 2014
Stochastic DAG scheduling using a Monte Carlo approach
Zheng W., Sakellariou R. Journal of Parallel and Distributed Computing 73(12): 16731689, 2013. Type: Article
Nondeterministic task execution times in heterogeneous distributed systems make task scheduling more challenging. To deal with uncertainty in dynamic environments, the authors of this paper built a predictionbased stochastic task sche...
Jan 6 2014
Small variance estimators for rare event probabilities
Broniatowski M., Caron V. ACM Transactions on Modeling and Computer Simulation 23(1): 123, 2013. Type: Article
This paper talks about improving the sampling estimators in simulation results and catching rare events. Quite interesting discussions of Gaussian samples and approximation validation are also included. In most typical simulation works...
Jul 9 2013
Bayesian learning of noisy Markov decision processes
Singh S., Chopin N., Whiteley N. ACM Transactions on Modeling and Computer Simulation 23(1): 125, 2013. Type: Article
Statistical models are not perfect, but they do help us estimate unknown complex models using fewer parameters. This paper deals with a statistical model fitted to observed actions that originate with a Markov decision process. A new M...
Jun 27 2013
Object tracking in the presence of occlusions using multiple cameras: a sensor network approach
Ercan A., El Gamal A., Guibas L. ACM Transactions on Sensor Networks 9(2): 136, 2013. Type: Article
The nontrivial problem of automating surveillance through a camera sensorbased wireless network, which may involve multiple static and moving occluders, is addressed in this paper....
May 31 2013
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