Essays about: "Stacking Ensemble"

Showing result 1 - 5 of 16 essays containing the words Stacking Ensemble.

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

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

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

    Abstract : 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. READ MORE

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

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

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

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Matematisk statistik

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

    Abstract : 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. READ MORE

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

    University essay from KTH/Datavetenskap

    Author : Samuel Härner; David Ekman; [2022]
    Keywords : ;

    Abstract : 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. READ MORE

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE