7 zoekresultaten voor “automated machine learning” in de Publieke website
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Hybrid Quantum-Classical Metaheuristics for Automated Machine Learning Applications
This thesis investigates how quantum, quantum-inspired, and hybrid quantum-classical computation can enhance key points of the automated machine learning (AutoML) pipeline under the constraints of noisy intermediate-scale quantum (NISQ) devices.
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Automated machine learning for dynamic energy management using time-series data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…
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Learning in Automated Negotiation
This dissertation advances automated negotiation by developing agents that can learn and adapt across diverse negotiation settings through three increasingly sophisticated approaches: automated algorithm configuration, portfolio-based strategy selection, and end-to-end reinforcement learning with graph…
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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Data-driven Predictive Maintenance and Time-Series Applications
Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.
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Julia WasalaWiskunde en Natuurwetenschappen
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Real-life data hebben sterke algoritmes nodig: Mitra Baratchi ontwerpt ze
Hoe gaan we om met grote uitstoters van broeikasgassen? Zorgen scholen voor een sociale inclusieve omgeving voor alle kinderen? En hoe beschermen we de natuur? Deze vragen hebben twee dingen gemeen: het zijn complexe wereldwijde uitdagingen en data kunnen helpen om ze te beantwoorden. Mitra Baratchi…