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 “"Models for decision-making"”.
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Composing Foundation Models for Decision Making
… in conditional generative modeling have enabled models like DALLE and GPT-4 to generate high-resolution images and coherent text from brief prompts. However, developing a foundation model for decision-making is hindered by the scarcity and expense of collecting paired visual, language, and action …
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Evaluation of models for decision making in inspection and repair maintenance
… management science and operations research. Many models have been developed to assist the maintenance function in its decisions. However. it would appear from engineering journals and shop floor practice that these models are not well used. For this research the method of inspection and repair …
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Machine learning and causality: Building efficient, and reliable models for decision-making
… guarantees has led to many unexpected failures. Models that perform well on the training distribution tend to break down when applied to different distributions; small perturbations can “fool” the trained model and drastically change its predictions; arbitrary choices in the training algorithm …
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Systems architecting approach to towing and salvage ship recapitalization
… operated by the Military Sealift Command (MSC) for the U.S. Navy. In 2019, the first T-ATF ships will reach the end of their 40-year life expectancy. The program manager for these vessels has a set of top-level performance characteristics that are deemed as desirable requirements for a new ship …
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Deciding among models : a decision-theoretic view of model complexity
… value added to the results within the context of decision-making. It seeks to determine how complex a model should be in order to fit it to the purpose at hand. The report begins with a discussion on general modeling theory and model complexity. It next considers the specific case of petroleum …
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Decentralized Aggregation Design and Study of Federated Learning
… has given rise to modern devices with built-in models for decision making and providing rich content to users. This typically involves processing huge volumes of data in central servers and sending updated models to end-user devices. There are two main concerns on this server architecture, one …
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Towards Rigorously Tested & Reliable Machine Learning for Health
… medication or diagnostic test. Building reliable models is complicated by the need for causal reasoning and robust performance. To support decision-making, we want to draw causal conclusions about the impact of model recommendations (e.g., will recommending a particular drug lead to better patient …
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Decision analysis methods to handle uncertainties that impact product end-of-life recovery
… take-back systems unprofitable. Two types of decisions must be made; how to carry out the disassembly process in the most efficient manner to “mine” the value-added that is still embedded in the product, and then how to best utilize that value-added once it is recovered. The variation in the …