Essays about: "Statistical learning"
Showing result 6 - 10 of 482 essays containing the words Statistical learning.
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6. Point process learning for non-parametric intensity estimation with focus on Voronoi estimation
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Point process learning is a new statistical theory that gives us a way to estimate parameters using cross-validation for point processes. By thinning a point pattern we are able to create training and validation sets which are then used in prediction errors. READ MORE
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7. Digital skills challenges and opportunities for digitally under-resourced primary schools in Zambia: an exploratory study.
University essay from Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärandeAbstract : Purpose: The purpose of the research was to propose a design of a digital learning platform that creates opportunities for digital learning in digitally underresourced primary schools in Zambia. Theory: Activity theory anchored on five principles of activity systems, inclusivity, historicity, use of contradictions, and mutual changes encompassed the theoretical framework for this thesis. READ MORE
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8. Primary Drivers of Sea Level Variability in the North – Baltic Sea Transition Using Machine Learning
University essay from Göteborgs universitet/Institutionen för geovetenskaperAbstract : Global mean sea level is rising, however not uniformly. Regional deviations of sea surface height (SSH) are common due to local drivers, including surface winds, ocean density stratifications, vertical land- & crustal movements and more. READ MORE
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9. Predicting Patent Data using Wavelet Regression and Bayesian Machine Learning
University essay from KTH/Matematik (Avd.)Abstract : Patents are a fundamental part of scientific and engineering work, ensuringprotection of inventions owned by individuals or organizations. Patents areusually made public 18 months after being filed to a patent office, whichmeans that current publicly available patent data only provides informationabout the past. READ MORE
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10. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. READ MORE
