Search for dissertations about: "real-world datasets"
Showing result 1 - 5 of 42 swedish dissertations containing the words real-world datasets.
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1. From data collection to electric grid performance : How can data analytics support asset management decisions for an efficient transition toward smart grids?
Abstract : Physical asset management in the electric power sector encompasses the scheduling of the maintenance and replacement of grid components, as well as decisions about investments in new components. Data plays a crucial role in these decisions. READ MORE
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2. Structured Stochastic Bandits
Abstract : In this thesis we address the multi-armed bandit (MAB) problem with stochastic rewards and correlated arms. Particularly, we investigate the case when the expected rewards are a Lipschitz function of the arm, and the learning to rank problem, as viewed from a MAB perspective. READ MORE
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3. Understanding and prioritizing crash contributing factors
Abstract : Real world data on driver behavior in normal driving and critical situations are essential for car safety development. Data collection and analysis methods that provide insight into the prevalence of crash contributing factors (e.g. READ MORE
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4. Decentralized Constrained Optimization: a Novel Convergence Analysis
Abstract : One reason for the spectacular success of machine learning models is the appearance of large datasets. These datasets are often generated by different computational units or agents and cannot be processed on a single machine due to memory and computing limitations. READ MORE
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5. Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots
Abstract : To bring robots closer to real-world autonomy, it is necessary to equip them with tools allowing them to perceive, model and behave adequately to dynamic changes in the environment. The idea of incorporating information about dynamics not only in the robots reactive behaviours but also in global planning process stems from the fact that dynamic changes are typically not completely random and follow spatiotemporal patterns. READ MORE