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 8 of 8 for “"Accuracy estimation"”.
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Teminių žemėlapių tikslumo vertinimo metodikos automatizavimas /
… of information, which is closely connected with accuracy of map. The mistakes of accuracy debase the value of map. Accuracy of printed thematical maps is determined by few factors: printing quality, scale of map (most possible, that in detailed scale maps small mistakes in layout of abritrary …
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Guided Interactive Machine Learning
… 1) active learning for user guidance, and 2) accuracy estimation as a measure of completion. First, I provide a study through simulation and user experiments of seven active learning techniques as they relate to Crayons. Three of these techniques were specifically designed for use in Crayons. …
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Análise de acurácia do diagnóstico assistido por computador no diagnóstico de lesões radiolucentes maxilofaciais - uma revisão sistemática e meta-análise
… a systematic review of the literature on the accuracy of computational image processing for the diagnosis of radiolucent maxillofacial lesions in comparison with histological biopsy diagnosis. Methods: A systematic review was conducted according to the statements of PRISMA- P and considering …
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Influence of motion profile on estimating anatomical elbow joint axes using inertial measurement units
… frequencies of motions that yield robust axis estimations. It was found for the axis of interest, high on-axis motion and low off-axis motion lead to precise axis estimation and high accuracy estimation of the pronation/supination elbow axis. Further, high off-axis motion and low on-axis motion …
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Machine Learning Methods for Protein Model Quality Estimation
In my research, I developed protein model quality estimation methods aimed at evaluating the reliability of computationally predicted protein models in the absence of experimentally solved ground truth structures. These methods specifically focus on estimating errors within the protein models to …
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Adaptive Learning and Prediction of Multiscale Dynamical Systems
… the fly and continuously monitors its prediction accuracy. Depending on the accuracy, it automatically switches the control of the simulation between the micro and macro scale dynamics to achieve a balance between speed-up and accuracy. Compared to other approaches, AdaLED enables for the first …
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Enhancing the Resolution and Predicting the Accuracy of Point Clouds Generated by Handheld 3D Scanners in Construction
… to enhance the resolution and estimate the accuracy of point clouds produced by handheld 3D scanners. The first method is novel in two key ways: (1) it boosts the resolution of a series of sequential sparse lidar scans by fusing them with high-resolution colour images, and (2) it employs …
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Change point detection for high dimensional data and valid inference for Bayesian linear models
… the justification for the size and power. For estimation of unknown change point locations, we utilize the wild binary segmentation algorithm. Empirical studies show that our methods have the correct size and better power compared with the existing approach when heteroscedasticity exists. In …