Sökning: "bagging"

Visar resultat 1 - 5 av 35 uppsatser innehållade ordet bagging.

  1. 1. Credit Card Approval Prediction : A comparative analysis between logistic regressionclassifier, random forest classifier, support vectorclassifier with ensemble bagging classifier.

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Dhanush Janapareddy; Narendra Chowdary Yenduri; [2023]
    Nyckelord :Machine Learning; Logistic Regression; Random Forest; Support Vector Machine; Ensemble Learning Bagging.;

    Sammanfattning : Background. Due to an increasing number of credit card defaulters, companies arenow taking greater precautions when approving credit applications. When a customermeets certain requirements, credit card firms typically use their experience todecide whether to grant them a credit card. 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. Vibration-Based Terrain Classification for an Autonomous Truck

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

    Författare :Lucas Lovén; [2022]
    Nyckelord :Autonomous vehicles; machine learning; surface identification; obstacle identification; signal processing; time series classification; Autonoma fordon; maskininlärning; detektering av underlag; detektering av hinder; signalhantering; tidsserie klassifiering;

    Sammanfattning : This thesis is focused on developing vibration based terrain classification for an autonomous mining truck. The goal is to classify between good and bad gravel roads as well as good and bad asphalt roads. Current literature within vibration based terrain classification has been focused to a great extent on smaller research vehicles. LÄS MER

  5. 4. Deep Ensembles for Self-Training in NLP

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

    Författare :Axel Alness Borg; [2022]
    Nyckelord :Self-training; Semi-Supervised Learning; Natural Language Processing; Ensembles; Transformers; Knowledge Distillation; Självträning; Semi-Övervakad Inlärning; Datalingvistik; Ensembler; Transformers; Kunskaps Destillering;

    Sammanfattning : With the development of deep learning methods the requirement of having access to large amounts of data has increased. In this study, we have looked at methods for leveraging unlabeled data while only having access to small amounts of labeled data, which is common in real-world scenarios. LÄS MER

  7. 5. BAGGED PREDICTION ACCURACY IN LINEAR REGRESSION

    Magister-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Daniel Kimby; [2022]
    Nyckelord :;

    Sammanfattning : Bootstrap aggregation, or bagging, is a prominent method used in statistical inquiry suggested to improve predictive performance. It is useful to confirm the efficacy of such improvements and to expand upon them. LÄS MER