Sökning: "ensemblemodeller"

Visar resultat 1 - 5 av 8 uppsatser innehållade ordet ensemblemodeller.

  1. 1. Predicting Breakdowns in Transportation Vehicles using Supervised Learning

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

    Författare :Shuo Li; [2023]
    Nyckelord :Breakdown Prediction; Transportation Vehicles; Diagnose; Gradient Boosting Classifier; Ensemble Model; Förutsägelse av haveri; transportfordon; diagnos; Gradient Boosting Classifier; Ensemblemodell;

    Sammanfattning : Vehicle breakdowns can lead to fatal accidents, increase costs and reduce productivity. Therefore, robust and accurate fault diagnosis and prediction systems are critical to ensure the proper operation of vehicles. Many researchers have used machine learning for the prediction of vehicle breakdowns. LÄS MER

  3. 2. Assessment of building renovations using Ensemble Learning

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

    Författare :Paul Lieutier; [2023]
    Nyckelord :Energy consumption; time series; ensemble learning; renovation works; Energiförbrukning; tidsserier; ensembleinlärning; renoveringsarbeten;

    Sammanfattning : In the context of global warming, to reduce energy consumption, an unavoidable policy is to renovate badly-isolated buildings. However, most studies concerning efficiency of renovation work do not rely on energy data from smart meters but rather on estimates. LÄS MER

  4. 3. 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

  5. 4. Information extraction and mapping for KG construction with learned concepts from scientic documents : Experimentation with relations data for development of concept learner

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

    Författare :Muhammad Hamza Malik; [2020]
    Nyckelord :Systematic Mapping; Machine reasoning; Explainable AI; Machine Learning; Vector Embedding; Natural Language Processing; Concept Drift; Neural Networks;

    Sammanfattning : Systematic review of research manuscripts is a common procedure in which research studies pertaining a particular field or domain are classified and structured in a methodological way. This process involves, between other steps, an extensive review and consolidation of scientific metrics and attributes of the manuscripts, such as citations, type or venue of publication. LÄS MER

  7. 5. Forecasting Cloud Resource Utilization Using Time Series Methods

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

    Författare :Prashant Kumar; [2018]
    Nyckelord :;

    Sammanfattning : With the contemporary technological advancements, the adoption of cloud as service has been evolving exponentially while providing a seemingly incessant measure of resources such as storage, network, CPU and many more. In today’s data centres that accommodate thousands of servers, ensuring the availability of continuous services is a significant hurdle. LÄS MER