Sökning: "Bayesiansk optimering"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden Bayesiansk optimering.

  1. 1. A personalized quasi-passive ankleexoskeleton using human-in-the loop optimization approaches

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Ho Ming Kong; [2023]
    Nyckelord :;

    Sammanfattning : Passive ankle exoskeletons have been proven to successfully decrease muscle demand for walking. The movement of the user’s ankle drives a mechanical clutch and spring, which eventually stores and returns mechanical energy to the user. LÄS MER

  3. 2. Computationally Efficient Explainable AI: Bayesian Optimization for Computing Multiple Counterfactual Explanantions

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Giorgio Sacchi; [2023]
    Nyckelord :Explainable AI; Counterfactual Explanations CFEs ; Bayesian Optimization BO ; Black-Box Models; Model-Agnostic; Machine Learning ML ; Efficient Computation; High-Stake Decisions; Förklarbar AI; Kontrafaktuell Förklaring CFE ; Bayesiansk Optimering BO ; Svarta lådmodeller; Modellagnostisk; Maskininlärning; Beräkningsmässigt Effektiv; Beslut med höga insatser;

    Sammanfattning : In recent years, advanced machine learning (ML) models have revolutionized industries ranging from the healthcare sector to retail and E-commerce. However, these models have become increasingly complex, making it difficult for even domain experts to understand and retrace the model's decision-making process. LÄS MER

  4. 3. A Predictive Analysis of Customer Churn

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Olivia Eskils; Anna Backman; [2023]
    Nyckelord :Churn prediction; CRM; optimization; applied mathematics; machine learning; gradient boosting; random forest; logistic regression; insurance industry; Kundbortfall; CRM; optimering; tillämpad matematik; maskininlärning; gradient boosting; random forest; logistisk regression; försäkringsbranschen;

    Sammanfattning : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. LÄS MER

  5. 4. Tracking Optimization in Agrivoltaic Systems : A Comparative Study for Apple Orchards

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Maddalena Bruno; [2023]
    Nyckelord :Agrivoltaics; Optimization; Light sharing; Apple Orchards; Lantbruk; Optimering; Ljusdelning; Äppelodlingar;

    Sammanfattning : Agrivoltaic (APV) systems, based on the co-location of solar panels and crops, are an innovative solution to land-use conflicts that often arise between agriculture and energy production. Their optimal functioning starts with efficient management and sharing of light between solar panels and underlying plants. LÄS MER

  7. 5. Auto-Tuning Apache Spark Parameters for Processing Large Datasets

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

    Författare :Shidi Zhou; [2023]
    Nyckelord :Apache Spark; Cloud Environment; Spark Configuration Parameter; Resource Utilization; Ridge Regression; Elastic Net; Random Forest; Deep Neural Network; Bayesian Optimization; Particle Swarm Optimization.; Apache Spark; Molnmiljö; Apache Spark konfigurationsparameter; Resursutnyttjande; Ridge-regression; Elastisk nät; Slumpskog; Djupt neuralt nätverk; Bayesiansk optimering; Partikelsvärmsoptimering.;

    Sammanfattning : Apache Spark is a popular open-source distributed processing framework that enables efficient processing of large amounts of data. Apache Spark has a large number of configuration parameters that are strongly related to performance. Selecting an optimal configuration for Apache Spark application deployed in a cloud environment is a complex task. LÄS MER