Uncertainty (Information theory)
概要
| 作品: | 96 作品在 69 項出版品 69 種語言 | |
|---|---|---|
書目資訊
Spatial uncertainty in ecology : = implications for remote sensing and GIS applications /
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Scalable uncertainty management = 4th International Conference, SUM 2010, Toulouse, France, September 27-29, 2010, proceedings /
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Robust control of uncertain da linear state space approach A Linear State Space Approach
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Scalable uncertainty management = 8th International Conference, SUM 2014, Oxford, UK, September 15-17, 2014 : proceedings /
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Propagation of interval and probabilistic uncertainty in cyberinfrastructure-related data processing and data fusion
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Survival under uncertainty = an introduction to probability models of social structure and evolution /
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Scalable uncertainty management = 10th International Conference, SUM 2016, Nice, France, September 21-23, 2016 : proceedings /
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Uncertainty-aware integration of control with process operations and multi-parametric programming under global uncertainty
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Uncertainty reasoning for the semantic web III = ISWC International Workshops, URSW 2011-2013 : revised selected papers /
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Paraconsistent intelligent-based systems = new trends in the applications of paraconsistency /
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Beyond traditional probabilistic data processing techniques = interval, fuzzy etc. methods and their applications /
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How uncertainty-related ideas can provide theoretical explanation for empirical dependencies
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Uncertainty and graphing in discovery work = implications for and applications in STEM education /
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On spatio-temporal data modelling and uncertainty quantification using machine learning and information theory
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Climate change and policy = the calculability of climate change and the challenge of uncertainty /
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Uncertainty treatment using paraconsistent logic = introducing paraconsistent artificial neural networks /
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Scalable uncertainty management = second international conference, SUM 2008, Naples, Italy, October 1-3, 2008 : proceedings /
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Uncertainty management in simulation-optimization of complex systems = algorithms and applications /
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Combining interval, probabilistic, and other types of uncertainty in engineering applications
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