Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 7637 for “"uncertainty"”.
-
Uncertainty Quantification and Uncertainty Reduction Techniques for Large-scale Simulations
… It is of great interest to include uncertainty information in the simulation. By ``Uncertainty Quantification,'' we denote the ensemble of techniques used to model probabilistically the uncertainty in model inputs, to propagate it through the system, and to represent the resulting …
-
Cooperation, Uncertainty, Creativity
Doktori kutatásomban az emergens kooperáció kérdését jártam körbe. Kiinduló felvetésem olyan közösségi szintű problémamegoldó helyzetek kommunikációs dinamikájának feltárására irányult, melyek valamilyen mértékű bizonytalansággal jellemezhetők: olyan személyközi helyzeteket szerettem volna …
-
Architecture of uncertainty
Machines have been used throughout history as an extension of the human body; a prosthetic device that can provide the opportunity to redefine the spatial experience of a given time and place. In this investigation the Pinhole camera was used as a device for capturing photographic images of an …
-
Bias, Uncertainty and Ions
This dissertation discusses the development of novel visualization techniques for biopolymer structures, the application of machine learning to biophysical data, and an in depth atomic-level investigation of a therapeutic nucleic acid called “F10.”
-
Uncertainty and Information Processing
… two factors that may influence the effects of uncertainty on information processing. The first factor is the positioning of uncertainty relative to a target of judgment, and how this affects people’s judgment processing. The second factor had to do with the degree to which uncertainty signals …
-
Uncertainty in Recommender Systems
… tools that we focus on in this dissertation are uncertainty estimators. The problem of uncertainty is relevant to Recommender Systems in at least two ways: prediction uncertainty and label uncertainty. Prediction uncertainty is the expected imprecision of the predictions given by the system's …
-
Auditor judgment under uncertainty
… evidentiary support and the level of estimate uncertainty when assessing management estimates. Drawing on information processing research, I predict that auditors can be more comfortable with management estimates, and expect a lower adjustment when there is alignment between the degree of …
-
Price formation under uncertainty
The analysis presented in this thesis is aimed at better understanding the role of expectations to the price formation process. Since general competitive analysis lacks a coherent explanation of how expectations are formulated it is difficult to promote theories that assume agents have no …
-
The paradox of uncertainty
This work represents my engagement with uncertainty, as I have defined and contained it. As an artist, my research strategy has been to work with uncertainty in a felt sense, using my hands as a way to access a different sort of thinking. To this end, I have allowed, created, sustained and …
-
Market behavior under uncertainty.
Thesis. 1975. Ph.D.--Massachusetts Institute of Technology. Dept. of Economics.
-
Higher dimensional fractal uncertainty
… we call line porosity, then it has a fractal uncertainty principle. The main ingredient is a new higher dimensional Beurling and Malliavin multiplier theorem, which allows us to construct band-limited functions that decay rapidly on line porous sets. To prove this theorem, we first explicitly …
-
Nonlinear Uncertainty Quantification, Sensitivity Analysis, and Uncertainty Propagation of a Dynamic Electrical Circuit
… The process can be used to identify sources of uncertainty, quantify magnitudes of uncertainty, and propagate uncertainty through a model. Model form error was identified through prototype experiments with the system and subsystem, and methods for reducing model form error are presented. …
-
Robust State Estimation, Uncertainty Quantification, and Uncertainty Reduction with Applications to Wind Estimation
… over Monte Carlo sampling-based methods for uncertainty quantification (UQ) and sensitivity analysis (SA), with time reductions of 38% and 98%, respectively. Lastly, while many estimation approaches achieve desirable accuracy under the assumption of known system parameters, reducing the …
-
Quantifying Uncertainty in Model Evaluation
… ways to account for model assessment and uncertainty estimation, the academic community hasn’t reached final consensus for a widely used standard. Through bridging the gap between post-hoc and resampling-based frameworks, this proposal seeks to offer validated approach to estimating …
-
Uncertainty Considerations with the GRIM
… measurement that requires the assessment of uncertainty. In this experiment, refractive index was performed on 63 samples from 41 sources of glass. Pairwise comparisons were calculated to illustrate the difference between using a conventional approach like standard deviation to using …
-
RISK AND UNCERTAINTY (UTILITY, DECISION)
… problems that combine elements of both risk and uncertainty, like Ellsberg's.</p><p>The new method allows DM to do everything permitted under the old axioms, and more besides, with fewer and less ambitious assumptions.</p>
-
Generative modelling under epistemic uncertainty
… an inability to distinguish between aleatoric uncertainty (data ambiguity) and epistemic uncertainty (lack of knowledge). This thesis addresses these limitations by establishing a rigorous framework for Random-Set Deep Learning, shifting from point-estimate probabilities to belief functions …
Page 1 of 382