Motivation for Using Uncertainty-Explicit Assessment
Uncertainty explicit assessment of off-the-shelf software: A Bayesian approach
... with assessment of a large number of attributes due to the complex set of dependencies that may exist between the different ...our assessment method; in fact they are more serious for the conventional ...
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Uncertainty explicit assessment of off-the-shelf software: A Bayesian approach
... with assessment of a large number of attributes due to the complex set of dependencies that may exist between the different ...our assessment method; in fact they are more serious for the conventional ...
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Uncertainty explicit assessment of off-the-shelf software: Selection of an optimal diverse pair
... (i.e. using more than one component to perform the same function) is usually the best guarantee of achieving higher levels of dependability than what the available COTS components can ...of assessment ...
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Explicit uncertainty for eye movement selection
... of uncertainty evaluation in selection processes related to active percep- ...tion. Uncertainty is the consequence of the inverse nature of perception, as well as incompleteness of the ...it using ...
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Handling respondent uncertainty in Choice Experiments: Evaluating recoding approaches against explicit modelling of uncertainty
... Modelling Uncertainty as Scale Variations Recoding implies that the researcher changes the preferences stated by the respondents according to what the researcher considers the best alternative answer or ...stated ...
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Evaluation of Implicit and Explicit Methods of Uncertainty Analysis on a Hydrological Modeling
... 82 a systematic bias in low streamflow and the variability of residuals increases with the increase of streamflow. This indicates that the variance of the residuals are not constant. However, the variability of residuals ...
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A generic approach to explicit simulation of uncertainty in the NEMO ocean model
... Overall, this method provides quite a simple and generic way of generating a wide class of stochastic processes. How- ever, this also means that new model parameters are needed to specify each of these stochastic ...
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A generic approach to explicit simulation of uncertainty in the NEMO ocean model
... Overall, this method provides quite a simple and generic way of generating a wide class of stochastic processes. How- ever, this also means that new model parameters are needed to specify each of these stochastic ...
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Assessment for learning and motivation
... our assessment tasks meet with a high level of student approval when compared to more traditional ...diverse assessment strategies, along with explicit criteria and marking schemes that are discussed ...
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Using Probabilistic MCB Analysis to Determine Uncertainty in a Stock Assessment
... Specifically, using the MCB and P* analyses to set the level of yield, while using the base run point estimate of F MSY to set a benchmark reference ...
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Modeling of Uncertainty in Dose Assessment using Probability Possibility Transformation
... of uncertainty, but also for some practical ...risk assessment, taking into account the most significant exposure pathway and the most sensitive target (direct soil ingestion by ...The assessment is ...
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Spatially Explicit Uncertainty and Sensitivity Analysis Methods for Land-Use Models
... ACKNOWLEDGEMENTS This degree is not only the final but also the most challenging degree that I have ever set out to achieve. Growing up overseas in a completely different culture, and then doing my PhD in San Diego was a ...
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Multifactorial Uncertainty Assessment for Monitoring Population Abundance using Computer Vision
... Key uncertainty factors, and their interactions, are identified from the perspective of a core task in ecology research and beyond: counting individuals from different ...which uncertainty assessment ...
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Efficient reliability and uncertainty assessment on lifeline networks using the survival signature
... Keywords: Reliability Analysis, Uncertainty Assessment, Imprecision, Lifeline Networks, Survival Signature, Binary Decision Diagrams. Abstract. Lifeline networks, such as water distribution and ...
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The influence of assessment on learning motivation
... educational assessment, which is not evidence-based and does not use proven and standardized assessment ...educational motivation. The reason for this is that obtaining an authentic assessment ...
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Assessment of an Explicit Algebraic Reynolds Stress Model
... an explicit algebraic Reynolds stress turbulence model in the in the three-dimensional Reynolds averaged Navier-Stokes (RANS) solver, ISAAC (Integrated Solution Algorithm for Arbitrary Con ...PAB3D using ...
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The bright and dark side of writing motivation : effects of explicit instruction and peer assistance
... writing motivation and self-effi- cacy for writing, we particularly focus on studying the effective- ness of explicit instruction ...and using peer-assisted writing approaches ...writing ...
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Using Assessment Feedback for Motivation Among Early Adolescents: A Grounded Theory Study
... alter motivation, when coupled with teacher feedback. Certainly, assessment is a significant part of the educational ...of assessment for learning emerged, whereby educators adjusted what they were ...
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INFORMATION SECURITY RISK ASSESSMENT UNDER UNCERTAINTY USING DYNAMIC BAYESIAN NETWORKS
... 2 Student, Computer Science and Engineering, Pondicherry Engineering College, Puducherry, India 3 Professor, Computer Science and Engineering, Pondicherry Engineering College, Puducherry, India Abstract The risk ...
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Bumps in river profiles: uncertainty assessment and smoothing using quantile regression techniques
... Received: 25 July 2017 – Discussion started: 4 August 2017 Revised: 6 November 2017 – Accepted: 6 November 2017 – Published: 7 December 2017 Abstract. The analysis of longitudinal river profiles is an important tool for ...
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