Browsing Faculty of Engineering by Subject "Sampling"
Now showing items 1-3 of 3
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How to trust a few among many
(Springer International Publishing, 2017)The presence of numerous and disparate information sources available to support decision-making calls for efficient methods of harnessing their potential. Information sources may be unreliable, and misleading reports can ... -
Particle size analysis on wide size distribution powders; effect of sampling and characterization technique
(Elsevier, 2015-01)Particle size distribution of powders plays a very important role in determining the critical chemical and physical properties of the particulate systems. Precise determination of particle size distribution depends on ... -
Strategies for truth discovery under resource constraints
(ACM, 2015)We present a decision-theoretic approach for sampling information sources in resource-constrained environments, where there is uncertainty regarding source trustworthiness. We exploit diversity among sources to stratify ...
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