Search for dissertations about: "Statistical Learning"
Showing result 1 - 5 of 224 swedish dissertations containing the words Statistical Learning.
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1. Statistical Learning, Dynamics and Control : Fast Rates and Fundamental Limits for Square Loss
Abstract : Learning algorithms play an ever increasing role in modern engineering solutions. However, despite many recent successes, their performance in the context of dynamical and control systems is not exactly well-understood. READ MORE
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2. Trustful Relationships and School Development
Abstract : Methods other than averages from national tests, grades and levels of eligibility for higher education to evaluate the quality of education and school development are called for. In this dissertation is examined how a conscious effort to develop trustful relationships and mutual interaction among all actors in schools may contribute to increased well-being, community and strengthened learning processes for both students and teachers. READ MORE
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3. Visual Analytics for Explainable and Trustworthy Machine Learning
Abstract : The deployment of artificial intelligence solutions and machine learning research has exploded in popularity in recent years, with numerous types of models proposed to interpret and predict patterns and trends in data from diverse disciplines. However, as the complexity of these models grows, it becomes increasingly difficult for users to evaluate and rely on the model results, since their inner workings are mostly hidden in black boxes, which are difficult to trust in critical decision-making scenarios. READ MORE
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4. Statistical Feature Selection : With Applications in Life Science
Abstract : The sequencing of the human genome has changed life science research in many ways. Novel measurement technologies such as microarray expression analysis, genome-wide SNP typing and mass spectrometry are now producing experimental data of extremely high dimensions. READ MORE
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5. Using Learning Analytics to Understand and Support Collaborative Learning
Abstract : Learning analytics (LA) is a rapidly evolving research discipline that uses insights generated from data analysis to support learners and optimize both the learning process and learning environment. LA is driven by the availability of massive data records regarding learners, the revolutionary development of big data methods, cheaper and faster hardware, and the successful implementation of analytics in other domains. READ MORE