Essays about: "Ensemble Learning Bagging."

Showing result 1 - 5 of 10 essays containing the words Ensemble Learning Bagging..

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

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

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

    Abstract : 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. 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. Deep Ensembles for Self-Training in NLP

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

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

    Abstract : 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. READ MORE

  5. 4. Deep Learning Methods for Recovering Trading Strategies

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

    Author : Erik Emtell; Oliver Spjuth; [2022]
    Keywords : Deep Learning; Recurrent Neural Network; Convolutional Neural Network; WaveNet; Ensemble Methods; Stacking; Bagging; Transfer Learning; Algorithmic Trading;

    Abstract : The aim of this paper is first of all to determine whether deep learning methods can recover trading strategies based on historical price and volume data, with scarcity of real data in mind. The second aim is to evaluate the methods to generate a deep learning blueprint for strategy extraction. READ MORE

  6. 5. C-section birth data classification using ensemble modelling techniques and their performance analysis

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Maria Yousaf; [2022]
    Keywords : ;

    Abstract : Data mining and machine learning techniques have a wide range of applications in businesses, healthcare, organizations, and academia, to name a few. Machinelearning has been used by several academics to construct decision support systems, analyse major clinical features, extract useful information from trends in historical data, generate predictions, and classify diseases. READ MORE