Probabilistic method

Results: 209



#Item
91Randomness / Statistical randomness / Stochastic / Monte Carlo method / Prediction / Probabilistic design / Bernoulli stochastics / Statistics / Probability and statistics / Science

Stochastic Simulation of Settlement Prediction of Shallow Foundations Based on a Deterministic Artificial Neural Network Model

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-01-15 18:50:07
92Probabilistic complexity theory / Randomized algorithm / Graph / Expander graph / Connectivity / Probabilistic method / Neighbourhood / Extractor / Pseudoforest / Graph theory / Mathematics / Analysis of algorithms

Computational Complexity and Information Asymmetry in Election Audits with Low-Entropy Randomness Nadia Heninger Princeton University [removed]

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Source URL: www.cis.upenn.edu

Language: English - Date: 2010-06-24 00:55:06
93Monte Carlo methods / Numerical analysis / Probabilistic complexity theory / Quasi-Monte Carlo method / Halton sequence / Low-discrepancy sequence / Pseudorandomness / Monte Carlo integration / Random number generation / Randomness / Mathematics / Applied mathematics

AIAA #2007–4260 36th AIAA Thermophysics Conference 25–28 June 2007, Miami, FL Quasi-Random Monte Carlo Integration

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Source URL: www.mssrc.com

Language: English - Date: 2014-09-28 22:04:42
94Summary statistics / Engineering statistics / Scientific method / Pavement management / Road / Standard deviation / International Roughness Index / Reliability engineering / Sampling / Statistics / Information / Science

Framework for Probabilistic Method for Road Network Asset Management Noppadol. Piyatrapoom1, Arun. Kumar1, Neil. Robertson2, Justin. Weligamage2 Queensland University of Technology, Brisbane, QLD, Australia 2 Queensland

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Source URL: www.atrf.info

Language: English - Date: 2011-11-30 18:42:52
95Statistical inference / Monte Carlo method / Numerical analysis / Probabilistic complexity theory / Cross-validation / Estimation theory / Representativeness heuristic / Sampling / Statistics / Probability and statistics / Applied mathematics

How Many Cases Do You Need? Assessing and Predicting Case-Base Coverage David Leake and Mark Wilson School of Informatics and Computing Indiana University, Bloomington, IN, USA [removed], [removed]

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Source URL: www.cs.indiana.edu

Language: English - Date: 2011-10-25 22:38:46
96Robotic sensing / Sensor fusion / Sensors / Mathematics / Data fusion / Information integration / Probabilistic method / Kalman filter / Whyte / Statistics / Data / Computer data

Introduction to Sensor Data Fusion http://www.acfr.usyd.edu.au/teaching/graduate/Fusion/index.html Hugh Durrant-Whyte Australian Centre for Field Robotics The University of Sydney [removed]

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Source URL: www.acfr.usyd.edu.au

Language: English - Date: 2007-05-27 22:35:37
97Expected value / Conditional expectation / Combinatorics / Statistical theory / Probabilistic method / Randomized algorithm / Statistics / Probability / Mathematical analysis

Australian Senior Mathematics Journal vol. 28 no. 1

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Source URL: www.aamt.edu.au

Language: English
98Risk / Actuarial science / Probabilistic complexity theory / Management / Monte Carlo method / Probabilistic risk assessment / Probabilistic method / Probabilistic design / Probability / Risk analysis / Mathematics

mhtml:file://H:ffice working folder Risk Management

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Source URL: upload.wikimedia.org

Language: English - Date: 2014-07-27 19:36:11
99Applied mathematics / Diophantine approximation / Probabilistic complexity theory / Low-discrepancy sequence / Quasi-Monte Carlo method / Monte Carlo method / Randomized algorithm / Mathematics / Randomness / Numerical analysis

Discrepancy Bounds for Mixed Sequences Michael Gnewuch Department of Computer Science, Columbia University, 1214 Amsterdam Avenue, MC 0401, New York, 10027 NY, USA email: [removed]

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Source URL: drops.dagstuhl.de

Language: English - Date: 2009-12-01 06:17:11
100Graph coloring / Conjectures / Combinatorics / Probabilistic method / Edge coloring / Graph theory / Mathematics / Theoretical computer science

TOM BOHMAN, Carnegie Mellon University, Department of Mathematical Sciences Anti-Ramsey Thresholds We call an edge-coloring of a graph a k-coloring if it uses no more than k colors and k-bounded if it uses no color more

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Source URL: cms.math.ca

Language: English - Date: 2006-07-10 21:18:19
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