Sökning: "Ensemble Methods"

Visar resultat 21 - 25 av 171 uppsatser innehållade orden Ensemble Methods.

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

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

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

    Sammanfattning : 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. LÄS MER

  3. 22. "Det är alltid svårt att börja rota i en tajmingfråga". En kvalitativ studie om lärares strategier kring feedback gällande sväng och tajming i ensemble

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Musikhögskolan i Malmö

    Författare :Arvid Filipsson; Daisy Delén; [2023]
    Nyckelord :Ensemble; feedback; gruppdynamik; kommunikation; konkret; metaforiskt; sväng; tajming; utbildningsvetenskap; Musikpedagogik. Communication; concrete; groove; group dynamics; metaphorical; timing; educational Science; Music Education.; Social Sciences; Performing Arts;

    Sammanfattning : Inspirationen till denna uppsats grundar sig i vår nyfikenhet om vad lärare har för tankar och strategier när det gäller feedback om sväng och tajming i ensemble. Syftet med studien är att undersöka ensemblelärares pedagogiska och metodiska tillvägagångssätt när de ger feedback gällande sväng och tajming i ensemble. LÄS MER

  4. 23. Uncertainty Estimation in Volumetric Image Segmentation

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

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

    Sammanfattning : 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. LÄS MER

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

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

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

    Sammanfattning : 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. LÄS MER

  7. 25. 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