Essays about: "Surrogate Model Optimization"

Showing result 1 - 5 of 17 essays containing the words Surrogate Model Optimization.

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

    University essay from KTH/Matematik (Avd.)

    Author : Giorgio Sacchi; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  3. 2. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator

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

    Author : Jiaming Huang; [2023]
    Keywords : ;

    Abstract : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. READ MORE

  4. 3. Uncertainty quantification for offshore wind turbines

    University essay from KTH/Matematik (Avd.)

    Author : Ziming Wang; [2022]
    Keywords : wind energy; uncertainty propagation; polynomial chaos; Rosenblatt transformation; quadrature; regression; vindenergi; osäkerhetsutbredning; polynomkaos; Rosenblatt transformation; kvadratur; regression;

    Abstract : Wind energy is a field with a large number of uncertainties. The random nature of the weather conditions, including wind speed, wind direction, and turbulence intensity, influences the energy output and the structural safety of a wind farm, making its performance fluctuate and difficult to predict. READ MORE

  5. 4. A GP-Surrogate-Based Bayesian Framework for Surge Barrier Optimization

    University essay from KTH/Matematik (Avd.)

    Author : Abel Valko; [2022]
    Keywords : Bayesian Optimization; Gaussian Process Regression; Storm Surge; GeoClaw; GISSR;

    Abstract : Tropical cyclone induced storm surges are some of the largest environmental risks facing infrastructure and human life in dense urban environments. Hurricane Sandy caused 44 deaths and damage of 19 billion US dollars in New York City alone. READ MORE

  6. 5. Data-driven Discovery of Real-time Road Compaction Parameters

    University essay from KTH/Matematisk statistik

    Author : Yuqi Shao; [2022]
    Keywords : statistics; machine learning; road compaction; statistik; maskininlärning; vägpackning;

    Abstract : Road compaction is the last and important stage in road construction. Both under-compaction and over-compaction are inappropriate and may lead to road failures. Intelligent compactors has enabled data gathering and edge computing functionalities, which introduces possibilities in data-driven compaction control. READ MORE