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.
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Showing 1 to 20 of 438 for “"extrapolation"”.
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Representation Learning for Extrapolation via Bilinear Transduction
Typical machine learning systems, such as deep neural networks, perform well at predicting on new examples that come from the same distribution as initial training data. However, these systems are not typically robust to examples that do not come from the same distribution as the training samples. …
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Frame-to-frame extrapolation of television fields
Thesis: M.S., Massachusetts Institute of Technology, Department of Electrical Engineering, 1960
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Higher order mesh curving using geometry curvature extrapolation
A higher order mesh curving method is developed which uses information from the geometry to determine the appropriate curvature of edges in the interior of the mesh. Edges are represented using four point Bézier curves to determine the positions of higher order edge points. Higher order face and …
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Data extrapolation in social sensing for disaster response
… that ""fill-in"" missing pieces. Unlike trend-extrapolation methods, we focus on prediction in disaster scenarios where disruptive trend changes occur. A set of prediction heuristics (and a standard trend extrapolation algorithm) are compared that use either predominantly-spatial or …
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Extrapolation and bandwidth choice in the regression discontinuity design
… The first two chapters develop approaches to the extrapolation of treatment effects away from the cutoff in RD and use them to study the achievement effects of attending selective public schools, known as exam schools, in Boston. The third chapter develops an adaptive bandwidth choice algorithm …
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Recognizing 'Game Changers' in Extrapolation Models: An Application to Counterinsurgency
… may be accurately described by aggregated extrapolation models, such that past behavior becomes the best predictor for future action. I argue that aggregated extrapolation models possess two flaws that make it a poor choice for examining insurgencies. First, aggregated extrapolation models …
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A Linear, Time-Varying System Framework for Bandlimited Signal Extrapolation
… to study several aspects of bandlimited signal extrapolation, the problem of reconstructing the whole of a bandlimited signal from a known piece. The extrapolation of both continuous-time and discrete-time signals is considered.
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Discrete-time band-limited extrapolation algorithms for radar imaging systems
This thesis is a study of band-limited extrapolation algorithms. In the one-dimensional case, we examine the Weighted-Norm, Iterative Weighted-Norm, Control-Point, Data Segmentation, and Cascade Form algorithms. Each modifies the reconstruction subspace used in the extrapolation. The basic …
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Extrapolation-based Discretization Error and Uncertainty Estimation in Computational Fluid Dynamics
… uncertainty estimators based on Richardson extrapolation for computational fluid dynamics problems. In order to evaluate the estimators, the exact solution should be known. A select set of solutions to the 2D Euler equations with known exact solutions are used to evaluate the estimators. …
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Bridging the gap : using extrapolation to reduce the experimental burden in children
… population. The ethical and practical benefits extrapolation can provide, such as speeding up access to medicines, reducing drug development costs and avoiding replication of existing information, have to be balanced against potential risks i.e. if extrapolation from adults is incorrectly deemed …
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Enhanced Lanczos Algorithms for Solving Systems of Linear Equations with Embedding Interpolation and Extrapolation
… called EIEMLA, is shown formally, through extrapolation, that it generates a new point which is at least as good as the last point generated by the Lanczos-type algorithm prior to stoppage. The remaining part of the thesis reports on the implementation of EIEMLA sequentially and in parallel …
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Bayesian Hierarchical Models for Data Extrapolation and Analysis in Rare and Pediatric Disease Clinical Trials
… to address these challenges has been data extrapolation; that is, the leveraging of available data from adults or older age groups to draw conclusions for the pediatric population. Bayesian hierarchical modeling facilitates the combining (or ``borrowing") of information across disparate …
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An Application of Spectral Translation and Spectral Envelope Extrapolation for High-frequency Bandwidth Extension of Generic Audio Signals
The scope of this work is to introduce a conceptually simple yet effective algorithm for blind high-frequency bandwidth extension of audio signals, a means of improving perceptual quality for sound which has been previously low-pass filtered or downsampled (typically due to storage considerations). …
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Equilibrium Melting Temperature Determination of Semicrystalline Polymers through Nonlinear Hoffman-Weeks Extrapolation and Secondary Crystallization of Ethylene/Styrene Copolymers
… of the conventional Hoffman-Weeks (HW) linear extrapolation for the determination of the equilibrium melting temperatures of semicrystalline polymers is critically reviewed. It is shown that the linear extrapolation of observed melting temperatures cannot, in general, provide a reliable …
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EVALUATION DE L’IMPACT DES PROPRIÉTÉS TENSIOACTIVES ET D’HYDROPHOBICITÉ DE SURFACE SUR LE TRANSFERT GAZ-LIQUIDE AU SEIN D’UN RÉACTEUR BIPHASIQUE ET SON EXTRAPOLATION
… donc d’une part d’évaluer la faisabilité d’une extrapolation du système biphasique et d’autre part de mieux comprendre l’impact de ses différents constituants sur le transfert de masse gaz-liquide.
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Crises Learning Under Diagnosticity
… where parameter uncertainty dampens or magnifies extrapolation. We characterise two unique implications of such an interaction with supporting evidence from the SPF: 1) State-dependence of extrapolation even after controlling for shocks - more aggressive extrapolation when surprises are …
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Some Improvement on Convergence Rates of Kernel Density Estimator
… symmetric. Secondly, we propose a geometric extrapolation of the location-scale kernel estimator and a geometric extrapolation of the bias reduced kernel estimator introduced above. Similarly, we investigate their theoretical properties and compare them with the geometric extrapolation of …
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