Sökning: "Statistical Learning"

Visar resultat 6 - 10 av 542 uppsatser innehållade orden Statistical Learning.

1. 6. Point process learning for non-parametric intensity estimation with focus on Voronoi estimation

   Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

   Författare :Alexander Thorén; [2023-03-28]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER

3. 7. Digital skills challenges and opportunities for digitally under-resourced primary schools in Zambia: an exploratory study.

   Master-uppsats, Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärande

   Författare :James Vwavwa Sikalima; [2023-03-21]
   Nyckelord :Digital Skills; Digital Devices;

   Sammanfattning : 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. LÄS MER

4. 8. Primary Drivers of Sea Level Variability in the North – Baltic Sea Transition Using Machine Learning

   Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

   Författare :David Ek; [2023-01-09]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER

5. 9. Predicting Patent Data using Wavelet Regression and Bayesian Machine Learning

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Mattias Martinsen; [2023]
   Nyckelord :Wavelet; Regression; Bayesian network; Prediction; Patent; Machine Learning; Wavelet; Regression; Bayesiskt nätverk; Predicering; Patent; Maskininlärning;

   Sammanfattning : 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. LÄS MER

7. 10. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Deepthy Prasad; Swathi Hampapura Sripada; [2023]
   Nyckelord :multivariate - time series; anomaly detection; neural networks; autoencoders; interpretability; counterfactuals;

   Sammanfattning : 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. LÄS MER