Sökning: "Stacking Ensemble"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden Stacking Ensemble.

1. 1. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Ilya Ploshchik; [2023]
   Nyckelord :Visualization; interaction; metamodels; validation metrics; predicted probabilities; stacking; stacked generalization; ensemble learning; machine learning;

   Sammanfattning : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. LÄS MER

3. 2. Generalized super-resolution of 4D Flow MRI : extending capabilities using ensemble learning

   Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

   Författare :Adam Hjalmarsson; Leon Ericsson; [2023]
   Nyckelord :4D Flow MRI; Ensemble learning; Super-resolution; Machine learning; Neural networks; 4DFlowNet;

   Sammanfattning : 4D Flow Magnet Resonance Imaging (4D Flow MRI) is a novel non-invasive technique for imaging of cardiovascular blood flow. However, when utilized as a stand-alone analysis method, 4D Flow MRI has certain limitations including limited spatial resolution and noise artefacts, motivating the application of dedicated post-processing tools. LÄS MER

4. 3. Conform with the Wind : Processing short-term ensemble forecasts with conformal based methods for probabilistic wind-speed forecasting

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Simon Althoff; [2023]
   Nyckelord :wind-speed; probabilistic; forecasts; forecasting; ensemble; post-processing; conformal prediction; conformal predictive systems; quantile regression forest; non-exchangeable; Mathematics and Statistics;

   Sammanfattning : Forecasting wind has always been an interesting subject, and as large parts of the world are relying more on wind for power production it is becoming even more important to have reliable forecasts. Probabilistic forecasts, where distributions are predicted in contrast to deterministic forecasts, are impor- tant for informed decision making. LÄS MER

5. 4. Comparing Ensemble Methods with Individual Classifiers in Machine Learning for Diabetes Detection

   Kandidat-uppsats, KTH/Datavetenskap

   Författare :Samuel Härner; David Ekman; [2022]
   Nyckelord :;

   Sammanfattning : Diabetes is a common disease that is characterized by several health markers. These markers can be used in machine learning to help predict the presence of diabetes in an individual. LÄS MER

7. 5. Transformer-based Source Code Description Generation : An ensemble learning-based approach

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Mantzaris Antonios; [2022]
   Nyckelord :Natural Language Processing; Code Summarization; Transformers; Text Generation; Ensemble Learning; BLEU; Naturlig språkbehandling; Kodsammanfattning; Transformatorer; Textgenerering; Ensemble Lärande; BLEU;

   Sammanfattning : Code comprehension can be significantly benefited from high-level source code summaries. For the majority of the developers, understanding another developer’s code or code that was written in the past by them, is a timeconsuming and frustrating task. LÄS MER