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.
Results
Showing 1 to 15 of 15 for “"Robust decision-making"”.
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Aligning Machine Learning and Robust Decision-Making
… are often used as tools to inform operations and decision-making, with the potential to revolutionize decision-making. The main key question this thesis aims to address is: How can we make ML methods aware of their downstream impact on the full decision-making process? As a result, we focus on …
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End-to-end Learning for Robust Decision Making
… learn. Achieving such rich and intricate decision making requires rethinking the foundations of intelligence across all stages of the autonomous learning lifecycle. In this thesis, we develop new learning-based approaches towards dynamic, resilient, and robust decision making of autonomous …
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Robust decision-making with model uncertainty in aerospace systems
Actual performance of sequential decision-making problems can be extremely sensitive to errors in the models, and this research addressed the role of robustness in coping with this uncertainty. The first part of this thesis presents a computationally efficient sampling methodology, Dirichlet Sigma …
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OPTIMIZATION AND LEARNING UNDER UNCERTAINTY - A UNIFIED ROBUSTNESS PERSPECTIVE
Robust decision making is ubiquitous in real-world applications in machine learning, operations research and finance, etc., due to the existence of uncertainty and noise coming from measurement errors or malicious attacking. This thesis first investigates the computational aspects of …
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Demand forecasting and decision making under uncertainty for long-term production planning in aviation industry
… capital investments, and highly variable demand. Making important decisions with intensive capital investments requires accurate forecasting of future demand. However, this can be challenging because of significant variability in future scenarios. The purpose of this research is to develop an …
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Effect of novelty and risk on schema-based learning and decision making in ecological settings
… in rodents and humans. However, their effect on decision making is rarely investigated, particularly in ecological settings. Moreover, the effect of novelty and risk on learning and decision making and whether this process is mediated via arousal- or attention-related mechanisms remain debatable. …
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Innovative Multivariate Meta-Analyses Methods For Diagnostic Tests And Multiple Treatments
… from multiple studies and supporting healthcare decision-making on diagnostic tests and multiple treatments. Assessing a diagnostic test often lacks a gold standard, i.e., a perfect reference test. Without a gold standard, a pragmatic approach is to postulate a ``reference standard'' from two …
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Modelling the economic implications of coastal managed retreat
… This thesis presents a new method to support robust approaches to implementing managed retreat of coastal communities exposed to climate change through rising sea levels and increasing storminess. It uses Evolutionary Economic analysis, System Dynamics, Scenario Planning and Robust Decision …
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Robust and Scalable Multiagent Reinforcement Learning in Adversarial Scenarios
Multiagent decision-making is a ubiquitous problem with many real-world applications, such as autonomous driving, multi-player video games, and robot team sports. Key challenges of multiagent learning include the presence of uncertainty in the other agent’s behaviors and the curse of dimensionality …
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Towards Energy-Efficient Cloud Datacentres: A Unified Framework for Generative and Multi-Scale Time Series Forecasting
… prediction accuracy. To further improve robustness and generalisability under volatile conditions, DAA-T-GAN is proposed, integrating diffusion-inspired data augmentation and transformative adversarial learning, achieving strong cross-dataset generalisation and competitive performance …
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Submodular Optimization in Multi-Robot Teams: Robustness, Resilience, and Decentralization
Decision-making is an essential topic for multi-robot coordination and collaboration and is also the main topic of this thesis. Examples can be found in autonomous driving, environmental monitoring, intelligent transportation, etc. To study this problem, we first use multiple applications as …
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Decision-Making: understanding undergraduate fitness to practise panels using a simulated case study approach
… no research has attempted to examine the decisions made or indeed how these decisions were arrived at within the following health and social care professions, Nursing, Paramedic Practice and Social work. Professional regulation for each of these professional groups is established through …
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Resilience Through Infrastructure Asset Management Long-term Planning
… This approach extends beyond physical robustness and emphasises quality of life in line with the New Zealand Living Standard Framework. Geographic Information System (GIS)-based analysis is performed following the ILM analysis to spatially illustrate the intersections between climate …
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New Horizon in Mobile Communications Networks Planning
… The research model will contribute toward more robust decision making and better strategic planning The research focuses on mobile communications services in seven countries three from the developed world and four are from the developing world. Data sources for this research relies primarily …
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Developing a decision support tool for improved aquatic invasive species management
… knowledge and data types being involved in AIS decisions. Decision support tools (DST) can be powerfully effective methods for helping to simplify complex decisions, incorporating different types of knowledge, and assisting in clear communication between involved parties. Developing a useful …