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 7 of 7 for “"Preference learning"”.
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Renewable Energy Communities: A Preference Learning Approach to Evaluate Differential Participation in Cities
L'abstract è presente nell'allegato / the abstract is in the attachment
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Adaptive Preference Learning With Bandit Feedback: Information Filtering, Dueling Bandits and Incentivizing Exploration
In this thesis, we study adaptive preference learning, in which a machine learning system learns users' preferences from feedback while simultaneously using these learned preferences to help them find preferred items. We study three different types of user feedback in three application setting: …
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Machine Learning Solutions for Emotional Speech: Exploiting the Information of Individual Annotations
… To balance the emotional content, we apply preference learning methods to retrieve speech samples with emotions that are less frequent in everyday conversation. The target emotions in this approach can be represented with attribute based labels (e.g., arousal, valence, dominance) or by …
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Personalized and adaptive therapeutic music generation from biosignals using knowledge-guided multimodal large language models
… evidence-grounded reasoning, and stabilized preference alignment. At the representation layer, the dissertation develops a family of tokenizers that convert continuous biomedical and media signals into compact discrete sequences for transformer-based modeling. Harmonizer provides …
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Systematic Development of Healthcare AI: From Data Curation, Algorithm Optimization, Benchmark Design and Clinical Applications
… an automated pipeline was developed for preference learning that includes preference dataset synthesis, rule-based and data-adaptive annotation, and reward model training. Additionally, two novel benchmarks were created to ensure reliability and safety of LLMs in healthcare tasks: one …
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Spatiotemporal Event Forecasting and Analysis with Ubiquitous Urban Sensors
… neural network for crime prediction, a multitask learning system for traffic incident prediction with spatiotemporal feature learning, social media-based transportation event detection, and a graph convolutional network-based cyberbullying detection algorithm are the four methods proposed. …
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Coactive Learning Algorithms for Constructive Preference Elicitation
Preference-based decision problems often involve choosing one among a large set of options, making common tasks like buying a car or a domestic appliance very challenging for a customer to handle on her own. This is especially true when buying online, where the amount of available options is …