Constructing and Optimizing the Uncertainty Measure
Constructing a housing precariousness measure for Europe
... 13 sectional survey. While more recent EU-SILC data are available, this particular wave includes an ad hoc module on housing conditions, including questions about reasons for recent moves. An additional advantage of ...
49
Constructing a Housing Precariousness Measure for Europe
... 13 sectional survey. While more recent EU-SILC data are available, this particular wave includes an ad hoc module on housing conditions, including questions about reasons for recent moves. An additional advantage of this ...
48
Optimizing Resolution and Uncertainty in Bathymetric Sonar Systems
... low uncertainty, having averaging or estimation methods that combine measurements to reduce the noise of their individual ...whose uncertainty is greatly ...
9
Optimizing Wave Farm Layouts Under Uncertainty
... The objective of this problem varies when attention is paid to different aspects. When there is no uncertainty, the wave direction and wave number are constants and the maximum q-factor is desired. However, in ...
50
Bootstrap Optical Flow Confidence and Uncertainty Measure
... b Heidelberg Collaboratory for Image Processing, University of Heidelberg Heidelberg, Germany Abstract We address the problem of estimating the uncertainty of optical flow algorithm results. Our method estimates ...
16
Uncertainty Quantification Using Concentration of Measure Inequalities
... the epistemic uncertainties, as measured by the validation diameter, through the execution of a sequence of identical simulations and experiments. While this aspect of the method may be regarded as a strength—it supplies ...
204
Uncertainty Reduction in Collaborative Bootstrapping: Measure and Algorithm
... that uncertainty re- duction is an important factor for enhanc- ing the performance of collaborative ...new measure for representing the degree of uncertainty correlation of the two classifiers in ...
8
Uncertainty Reduction as a Measure of Cognitive Processing Effort
... [email protected] Abstract The amount of cognitive effort required to process a word has been argued to depend on the word’s effect on the uncertainty about the incoming sentence, as quanti- fied by the entropy ...
9
Locally Constant Model Uncertainty Risk Measure
... In the next section we formally introduce the risk measure LCM U λ and provide its representation that connects it to AV aR λ . We also identify the minimizing measure for each financial position. We ...
24
Optimizing Integrated Terminal Airspace Operations Under Uncertainty
... wake vortex separation requirements are enforced at the runway threshold, i.e. sequence-dependent setup times, and speed-varying constraints are derived to represent the temporal control separation strategy adopted. ...
19
Methods for Constructing Lexicon-Grammar Resources: The Example of Measure Expressions
... We construct, in the framework of the lexicon-grammar theory, a set of grammars dealing with measure expressions. First, we manually represent compounds with graphs: determiners such as ten pounds of and ...
5
Constructing uncertainty : unions and migrant labour in construction in Spain and the UK
... Comparing two countries facing the same problem, do actors, and notably unions, have discretion on how to react to this structural phenomenon? Spain and UK as critical cases: background and methodology In the EU, three ...
29
Uncertainty Measurement for Ultrasonic Sensor Fusion Using Generalized Aggregated Uncertainty Measure 1
... total uncertainty have been proposed ...a measure of aggregated uncertainty named AU. This measure is defined in the framework of the evidential theory that aggregates the non-specificity and ...
10
Uncertainty reduction as a measure of cognitive load in sentence comprehension.
... The information-theoretic account of sentence comprehension is not merely applicable to particular sentence types or syntactic constructions. Surprisal and entropy reduction are general measures of information content, ...
20
Measure, analyze and manage: optimizing marketing results with business analytics
... Marketers use these solutions to gain visibility into key marketing performance indicators across all touch points and campaigns. Capabilities such as powerful what-if scenario modeling help to optimize marketing ...
12
Development of a Pragmatic Measure for Evaluating and Optimizing Rapid Response Systems
... Evaluation of Critical Deterioration as a Proximate Outcome for In-Hospital Mortality In evaluating the critical deterioration metric as a proximate outcome associ- ated with in-hospital mortality, we fi rst excluded ...
10
Optimizing Integrated Arrival, Departure and Surface Operations Under Uncertainty
... for uncertainty considerations, a multistage stochastic program- ming approach was formulated and several sample average approximation problems were solved to compute candidate ...
10
Fitness-to-Drive Screening Measure© : Constructing and Validating the short form
... empirically validated. Currently, no scoring algorithm has been developed for the FTDS short forms. Although the preliminary findings show that the FTDS short forms are valid, validity testing will need to be redone with ...
92
A METHODOLOGY FOR USING CROWDSOURCED DATA TO MEASURE UNCERTAINTY IN NATURAL SPEECH
... express uncertainty unconsciously in order to add layers of meaning on top of their speech, conveying doubts about the accuracy of the information they are trying to ...annotating uncertainty, which is ...
5
Using implied volatility to measure uncertainty about interest rates
... of uncertainty about future asset ...that uncertainty about short-term interest rates has been falling for almost 20 years, as the levels of interest rates and inflation have ...
20