Search for dissertations about: "Uncertain information"
Showing result 1 - 5 of 239 swedish dissertations containing the words Uncertain information.
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1. Predictive Techniques and Methods for Decision Support in Situations with Poor Data Quality
Abstract : Today, decision support systems based on predictive modeling are becoming more common, since organizations often collect more data than decision makers can handle manually. Predictive models are used to find potentially valuable patterns in the data, or to predict the outcome of some event. READ MORE
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2. Enabling Safe Autonomous Driving in Uncertain Environments
Abstract : Autonomous driving technologies have been developed in the past decades with the objective of increasing safety and efficiency. However, in order to enable such systems to be deployed on a global scale, the problems and concerns regarding safety must be addressed. READ MORE
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3. Information and politics
Abstract : his thesis consists of four independent essays, which consider different topics in information economics and political economy. The first two papers are variants of the same idea. An uninformed principal, e.g. READ MORE
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4. Quantitative methods to support drug benefit-risk assessment
Abstract : Joint evaluation of drugs’ beneficial and adverse effects is required in many situations, in particular to inform decisions on initial or sustained marketing of drugs, or to guide the treatment of individual patients. This synthesis, known as benefit-risk assessment, is without doubt important: timely decisions supported by transparent and sound assessments can reduce mortality and morbidity in potentially large groups of patients. READ MORE
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5. Position Estimation in Uncertain Radio Environments and Trajectory Learning
Abstract : To infer the hidden states from the noisy observations and make predictions based on a set of input states and output observations are two challenging problems in many research areas. Examples of applications many include position estimation from various measurable radio signals in indoor environments, self-navigation for autonomous cars, modeling and predicting of the traffic flows, and flow pattern analysis for crowds of people. READ MORE