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Research article

First published 2021-11

New probabilistic S-N curves modeling method with small-sample test data of composite materials

Qiang Ma, Zongwen An, Xuezong Bai [...]

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

Open access

Research article

First published 2013-11

A Low Dispersion Probabilistic Roadmaps (LD-PRM) Algorithm for Fast and Efficient Sampling-Based Motion Planning

Weria Khaksar, Tang Sai Hong, Mansoor Khaksar [...]

International Journal of Advanced Robotic Systems

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Research article

First published 2013-2

Probabilistic load flow calculation with Latin hypercube sampling applied to grid-connected induction wind power system

X Li, DJ Du, JX Pei [...]

Transactions of the Institute of Measurement and Control

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Research article

First published 2018-7

Distributed consensus of a class of networked nonlinear systems by non-uniform sampling with probabilistic transmission delays and its application to two-link manipulators

Lili Hu, Xinyong Wang, Hongmin Li

Transactions of the Institute of Measurement and Control

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Research article

First published 2006-9

Large-Sample Bayesian Posterior Distributions for Probabilistic Sensitivity Analysis

Gordon B. Hazen, Min Huang

Medical Decision Making

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Research article

First published 1990-5

Robustness and Small-Sample Properties of the Estimators of Probabilistic Multidimensional Scaling (PROSCAL)

B. Kemal Büyükkurt, Meral Demirbag Büyükkurt

Journal of Marketing Research

Open access

Research article

First published 2015-7

Estimating the Expected Value of Sample Information Using the Probabilistic Sensitivity Analysis Sample

Mark Strong, Jeremy E. Oakley, Alan Brennan [...]

Medical Decision Making

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Other

First published 2005-12

Using Workspace Information as a Guide to Non-uniform Sampling in Probabilistic Roadmap Planners

Jur P. van den Berg, Mark H. Overmars

The International Journal of Robotics Research

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Research article

First published 2014-11

Hybrid probabilistic sampling with random subspace for imbalanced data learning

Peng Cao, Dazhe Zhao, Osmar Zaiane

Intelligent Data Analysis: An International Journal

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Other

First published 2009-5

A Hybrid Cohort Individual Sampling Natural History Model of Age-Related Macular Degeneration: Assessing the Cost-Effectiveness of Screening Using Probabilistic Calibration

Jonathan Karnon, Carolyn Czoski-Murray, Kevin J. Smith [...]

Medical Decision Making

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