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Research article

First published 2010-8

Time-Space Sampling and Respondent-Driven Sampling with Hard-to-Reach Populations

Salaam Semaan

Methodological Innovations

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Research article

First published 2025

Critical scenario sampling method for autonomous vehicle test based on the concept of scenario space partitioning

Deyu Kong, Cheng Wang, Xiaoxian Cui [...]

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

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Research article

First published 2019-5

Optimal sample-data control for free-floating space robot with uncertain inertial parameters

Fan Yang, Guoliang Zhang, Hexin Zhang [...]

Proceedings of the Institution of Mechanical Engineers,Part G: Journal of Aerospace Engineering

Open access

Research article

First published 2017-1

Grouped fuzzy SVM with EM-based partition of sample space for clustered microcalcification detection

Huiya Wang, Jun Feng, Hongyu Wang

Technology and Health Care

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Other

First published 2004-02

A New Addition to the Family of Space Sampling Methods

Hartmut Lang, Peter Challenor, Peter D. Killworth

Field Methods

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Research article

First published 1997-08

Influencing Probability Judgments by Manipulating the Accessibility of Sample Spaces

Makoto Hanita, Igor Gavanski, Russell H. Fazio

Personality and Social Psychology Bulletin

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Research article

First published 2019-9

Exploring implicit spaces for constrained sampling-based planning

Zachary Kingston, Mark Moll, Lydia E Kavraki

The International Journal of Robotics Research

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Research article

First published 2024-6

Clinical feasibility of post-contrast accelerated 3D T1-Sampling Perfection with Application-optimized Contrasts using different flip angle Evolutions (SPACE) with iterative denoising for intracranial enhancing lesions: a retrospective study

Su Young Yun, Young Jin Heo

Acta Radiologica

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Research article

First published 2018-8

Improving seasonal adjustment by accounting for sample error correlation using state space models 1

Andreas Mayer

Statistical Journal of the IAOS

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Research article

First published 2012-7

The theoretical foundations of statistical learning theory based on fuzzy random samples in Sugeno measure space

Ha Minghu, Wang Chao, Witold Pedrycz

Transactions of the Institute of Measurement and Control

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