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 36 for “"model quality"”.
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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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Understanding Plant Response to Stress Using Gene Model Quality Evaluation and Transcriptome Analysis
… makeup of the early land plants. The gene model sequence data of two early land plants, <em>Physcomitrella patens</em> (moss) and <em>Chlamydomonas reinhardtii</em>(green algae). We specifically focused on the protein family expansion of protein kinases due to their roles in various …
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Essays on Empirical Asset Pricing
… function using a partially misspecified model. The estimator automatically detects the dimensions along which the model quality is good (poor). The estimator is always consistent, and its rate of convergence improves toward the parametric rate as the model quality improves. These …
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When the truth hurts: ordinary selling price regulation in a monopoly
… when some consumers are uncertain about product quality? In this thesis we analyze a two-period monopoly model to study the welfare effect of ordinary selling price (OSP) regulation. In the model, quality is observed by informed consumers who buy in the first period. However, consumers who arrive …
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An evaluation of computer assisted skull re-assembly using hand held and automated laser scanners
… reconstruction. The technique is reliant on high quality images produced by radiological CT or optical surface laser scans. The accuracy of CAD reassembly and the contribution the technologies of image production make to the process are largely unevaluated. This research uses four 3D models …
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Examining the taphonomic challenges to the 3D digitisation of fragmented bone
… specularity, reflectance and shape on the quality of the recorded 3D image, but within the archaeological and palaeontological disciplines comparable work has not yet been developed. If archaeology and anthropology are to provide long term reliable data from archaeological and …
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Investigating The Mechanisms That Drive Implicit Coordination In Teams
… test the oft-noted hypothesis that shared mental models lead to implicit coordination. Specifically, this dissertation investigated the underlying mechanisms of implicit coordination and how different aspects of shared mental models affect the process. The research questions tested in this study …
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Examining the taphonomic challenges to the 3D digitisation of fragmented bone
… specularity, reflectance and shape on the quality of the recorded 3D image, but within the archaeological and palaeontological disciplines comparable work has not yet been developed. If archaeology and anthropology are to provide long term reliable data from archaeological and …
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Examining the taphonomic challenges to the 3D digitisation of fragmented bone
… specularity, reflectance and shape on the quality of the recorded 3D image, but within the archaeological and palaeontological disciplines comparable work has not yet been developed. If archaeology and anthropology are to provide long term reliable data from archaeological and …
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Assessing the effects of field plot size and stand structure on forest inventory estimates derived from laser altimetry data
… stem-mapped field data and multiple regression modeling techniques. Models were fitted for maximum and mean heights, stand basal area, stem density, and quadratic mean diameter. A validation routine was performed using an independent dataset and models derived from different plot sizes were …
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QLoRaX: Heuristic-Guided Fine-Tuning of LLaMA-2 for Domain Adaptation in Entrepreneurship
… a study on the fine-tuning of large language models (LLMs) for domain-specific applications using limited data. We fine-tuned the LLaMA-2 (7B) model on a curated entrepreneurial dataset containing 3,545 human-written question-answer pairs, of which 3,095 were used for training and 450 were …
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Assessing the effects of field plot size and stand structure on forest inventory estimates derived from laser altimetry data
… stem-mapped field data and multiple regression modeling techniques. Models were fitted for maximum and mean heights, stand basal area, stem density, and quadratic mean diameter. A validation routine was performed using an independent dataset and models derived from different plot sizes were …
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Quality in All Levels: A Model Defining and Measuring Quality in Bioethics Education
<p>Due to the lack of academic studies in the quality assessment of bioethics education, this dissertation aimed to propose a normative model, Quality in All Levels (QAL), to define and measure quality in bioethics education. The QAL model described quality in bioethics education as conformance to …
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Building Better Backbones: Visualizations, Analyses, and Tools for Higher Quality Macromolecular Structure Models
… X-ray crystallography, NMR, and homology modeling, result in an interpreted <italic>model</italic> of a structure. Nearly all of these models contain mistakes, in which atoms are fit in incorrect or impossible positions. These mistakes, especially at a functionally-important location in a …
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Probabilistic Modelling of Sensitivity in Fire Simulations
… analyses were evaluated using the Metamodel of Optimal Prognosis which provides a measure of the predictability of the simulation that can be applied as an indicator for model quality. The results allow conclusions to be made, which quality of prognosis can be achieved using current …
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Efficient Systems for Large-Scale Graph Representation Learning
… strong baselines with negligible impacts on the model quality. Notably, Hanoi is able to obtain competitive performance close to in-memory training with only a fraction of memory requirements. Building on this foundation, the second work, Joestar, introduces a unified framework for optimized GNN …
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Improving Large-scale Recommendation Systems with Contextual Signals
… for large-scale recommendation systems. Model-based recommendation systems have the advantage of better performance and scalability in large-scale systems. Contextual signals, such as user browsing histories, check-ins, latest posts, page views, etc., provide great potential to improve …
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Robust Botnet Detection Techniques for Mobile and Network Environments
… that these instances can be leveraged to enhance model quality (especially for botnet families with small datasets). This novel approach is denoted Similarity Based Instance Transfer, or SBIT. Furthermore, the thesis presents a proposed extended version designed to overcome a weakness in the …
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The Development of a Master Plan of Curriculum and Instruction for a Charter School in the State of Michigan
… charter schools are being propagated to model quality education. The country is presently challenged to produce competent educational programs that contribute to this pioneer effort.</p> <p>Purpose. The purpose of this study was to develop a master plan of curriculum and instruction for a …
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