Essays about: "Ensemble learning"

Showing result 26 - 30 of 175 essays containing the words Ensemble learning.

  1. 26. 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

  3. 27. Data-Driven Traffic Forecasting for Completed Vehicle Simulation: : A Case Study with Volvo Test Trucks

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Samaneh Shahrokhi; [2023]
    Keywords : supervised machine learning; traffic forecasting; vehicle presence prediction; binary classification; ensemble learning; feature engineering; hyperparameter tuning; data-driven analysis;

    Abstract : This thesis offers a thorough investigation into the application of machine learning algorithms for predicting the presence of vehicles in a traffic setting. The research primarily focuses on enhancing vehicle simulation by employing data-driven traffic prediction methods. The study approaches the problem as a binary classification task. READ MORE

  4. 28. Shoppin’ in the Rain : An Evaluation of the Usefulness of Weather-Based Features for an ML Ranking Model in the Setting of Children’s Clothing Online Retailing

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

    Author : Isac Lorentz; [2023]
    Keywords : Statistical analysis; regression analysis; recommender systems; ensemble learning; electronic commerce; LightGBM; learning to rank; feature selection; weather-based features; fashion; Statistisk analys; regressionsanalys; rekommendationssystem; ensemble-inlärning; näthandel; LightGBM; learning to rank; variabelselektion; väderbaserade variabler; mode;

    Abstract : Online shopping offers numerous benefits, but large product catalogs make it difficult for shoppers to understand the existence and characteristics of every item for sale. To simplify the decision-making process, online retailers use ranking models to recommend products relevant to each individual user. READ MORE

  5. 29. Uncertainty Estimation in Volumetric Image Segmentation

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

    Author : Donggyun Park; [2023]
    Keywords : Uncertainty Estimation; Uncertainty Quantification UQ ; Volumetric Image Segmentation; 3D U-Net; test-time data augmentation; Deep ensemble;

    Abstract : The performance of deep neural networks and estimations of their robustness has been rapidly developed. In contrast, despite the broad usage of deep convolutional neural networks (CNNs)[1] for medical image segmentation, research on their uncertainty estimations is being far less conducted. READ MORE

  6. 30. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Teja Sai Vaibhav Boppana; Joseph Sudheer Vinakonda; [2023]
    Keywords : Machine Learning; Market Trends; News; Headlines Stock Price Prediction; VADER.;

    Abstract : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. READ MORE