Results 31 to 40 of about 82,469 (304)
Imprecise Probabilistic Inference from Sequential Data
Psychological Review, 2022 Although the Bayesian paradigm is an important benchmark in studies of human inference, the extent to which it provides a useful framework to account for human behavior remains debated. We document systematic departures from Bayesian inference under correct beliefs, even on average, in the estimates by experimental subjects of the probability of a ...
Arthur Prat-Carrabin, Michael Woodford
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Context-aware adaptive data stream mining [PDF]
, 2009 In resource-constrained devices, adaptation of data stream processing to variations of data rates and availability of resources is crucial for consistency and continuity of running applications. However, to enhance and maximize the benefits of adaptation,
Zaslavsky, Arkady +9 more
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Simulating imprecise data: sine–cosine and convolution methods with neutrosophic normal distribution
Journal of Big Data, 2023 Objective The primary aim of this research paper is to introduce and demonstrate the application of the sine–cosine method and the convolution method for simulating data by utilizing the neutrosophic normal distribution.
Muhammad Aslam
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Conditional dependencies in imprecise data handling
Procedia Computer Science, 2021 Abstract Experimental data are meant as instances of random variables. Stochastic distortions are empirically evaluated. Evaluations take form of histograms. Set of rectangle bins of a histogram can be converted to Gaussian like curve enabling exploration of a discernment point neighborhood.
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Measuring the overall performances of decision-making units in the presence of imprecise data [PDF]
Journal of Optimization in Industrial Engineering, 2012 Data envelopment analysis (DEA) is a method for measuring the relative efficiencies of a set of decision-making units (DMUs) that use multiple inputs to produce multiple outputs.
Hossein Azizi +2 more
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Overall profit Malmquist productivity index under data uncertainty
Financial Innovation, 2020 The calculation of the overall profit Malmquist productivity index (MPI) requires precise and accurate information on the input, output, input-output prices of each decision making unit (DMU).
Dariush Akbarian
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IMPrECISE: Good-is-good-enough data integration [PDF]
, 2008 IMPrECISE is an XQuery module that adds probabilistic XML functionality to an existing XML DBMS, in our case MonetDB/XQuery. We demonstrate probabilistic XML and data integration functionality of IMPrECISE.
van Keulen, Maurice; id_orcid +4 more
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INVESTMENT PROJECT SELECTION BY APPLYING COPRAS METHOD AND IMPRECISE DATA [PDF]
Serbian Journal of Management, 2012 Investment projects can have a significant impact on the functioning and development of acompany. Therefore, the selection of one or more investment projects from the set of possible is animportant and difficult task for decision makers.
Gabrijela Popović +2 more
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Time series data analysis under indeterminacy
Journal of Big Data, 2023 The existing semi-average method under classical statistics is applied to measure the trend in the time series data. The existing semi-average method cannot be applied when the time series data is in intervals or imprecise.
Muhammad Aslam
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Multi-dimensional Probabilistic Regression over Imprecise Data Streams [PDF]
, 2022 In applications of Web of Things or Web of Events, a massive volume of multi-dimensional streaming data are automatically and continuously generated from different sources, such as GPS, sensors, and other measurement devices, which are essentially ...
Gao, Ran +3 more
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