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 “"weighting approaches"”.
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Development of a Knowledge Assessment System Based on Concept Maps and Differential Weighting Approaches
… on concept maps and employs two differential weighting approaches. It is a developmental study, which includes the design phase, development phase and evaluation phase. The general software system design model (Sommerville, 2009) was adopted to guide the design of the Knowledge Assessment …
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Exploring a Novel Adaptive Mesh Refinement Strategy for High-Speed CFD
… within the scheme is evaluated using both equal-weighting and optimized-weighting approaches. Variations of the proposed algorithm that use flow gradients or limit adaptation regionally are also investigated. The negative consequences of adaptation without enforcing the original smooth surface …
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Multi-scale local explanation approach for image analysis using model-agnostic explainable artificial intelligence (XAI)
… we propose a multi-scale scheme of LIME and two weighting approaches based on Gaussian distribution and a parameter-free framework to produce visual explanations observed from different scales. We investigated the proposed multi-scale scheme on Flower Dataset from TensorFlow and a biological …
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Affect in *Text and Speech
… methods' predictions are combined with weighting approaches into a joint prediction. In addition, classification with the high agreement data is specifically explored, and the impact of access to knowledge about previous affect history is contrasted empirically. Chapter 5 moves on to …
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k-Label Dependent Evolutionary Distance Weighting for Software Defect Prediction
… SDP models often depend on static feature-weighting approaches that cannot be adjusted to the particularities of different data sets. Existing model address some of these challenges, but lack interpretability or prediction accuracy. This research addresses the limitations of existing models …
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Machine Learning for Causal Estimation
… outperforms conventional inverse propensity weighting approaches. The second chapter introduces a new method for causal change attribution, which quantifies how different causal mechanisms contribute to shifts in the distribution of an outcome variable over time or across groups. Building on …
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An application of climate change ensemble averaging methods to fisheries management
… that the application of the model ensemble approaches used in climate change would have had on the recent results obtained from the use of an equally weighted model ensemble average in developing and selecting a management procedure for the South African hake resource. The particular intent …