Essays about: "Bayesian Optimization BO"

Showing result 1 - 5 of 6 essays containing the words Bayesian Optimization BO.

  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. Path Choice Estimation in Urban Rails : Asimulation based optimisation for frequency-based assignment model

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

    Author : Alexander Adolfsson; [2022]
    Keywords : Black-Box Optimisation; Optimization; Simulation based optimisation; Transit Network; Automaton; Urban Transport; Public transportation; Black-Box optimering; Optimering; Simuleringsbaserad Optimering; Transportsystem; Automation; Local Transport; Kollektivtrafik;

    Abstract : Transit system have a large importance in modern urban cities, with urban rail often acting as the central system with it efficient travel time and great capacity. As cities grow in population, so to does the usage of urban rail resulting in increased crowding on the platform and in the trains. READ MORE

  4. 3. Avoiding local minima with Genetic programming of Behavior Trees

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

    Author : Zhanpeng Xie; [2022]
    Keywords : Genetic Programming; Behavior Trees; Optimization; Autonomous Agents; Simulation; Genetiskprogrammering; beteendeträd; optimering; autonomaagenter; simulering;

    Abstract : Behavior Trees (BTs) are a reactive policy representation that has gained popularity in recent years, especially in the robotics domain. Among the learning methods for BTs, Genetic Programming (GP) is an effective method for learning a good BT. One drawback of GP is that it is likely to get stuck in local minima. READ MORE

  5. 4. Scalable Hyperparameter Optimization: Combining Asynchronous Bayesian Optimization With Efficient Budget Allocation

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

    Author : Kai Jeggle; [2020]
    Keywords : ;

    Abstract : Automated hyperparameter tuning has become an integral part in the optimization of machine learning (ML) pipelines. Sequential model based optimization algorithms, such as bayesian optimization (BO), have been proven to be sample efficient with strong final performance. READ MORE

  6. 5. Machine Learning for Forecasting Signal Strength in Mobile Networks

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Nikolajs Prihodko; [2018]
    Keywords : machine learning; time series; forecasting; mobile networks; var; neural networks; gru; gaussian processes; hyperparameter optimization;

    Abstract : In this thesis we forecast the future signal strength of base stations in mobile networks. Better forecasts might improve handover of mobile phones between base stations, thus improving overall user experience. Future values are forecast using a series of past sig- nal strength measurements. READ MORE