Essays about: "bayesian optimization"

Showing result 11 - 15 of 73 essays containing the words bayesian optimization.

  1. 11. Optimization and Bayesian Modeling of Road Distance for Inventory of Potholes in Gävle Municipality

    University essay from Stockholms universitet/Statistiska institutionen

    Author : Timothy Rafael Lindblom; Oskar Tollin; [2022]
    Keywords : Traveling salesman problem; Bayesian inference; Simulated annealing; Nearest neighbour algorithm; Markov Chain Monte Carlo; MCMC; Potholes; Haversine formula; Metropolis-Hastings; Posterior predictive distribution; Handelsresande problemet; bayesiansk inferens; simulerad anlöpning; nearest neighbour algorithm; Markov Chain Monte Carlo; MCMC; potthål; storcirkelavstånd; Metropolis-Hastings; posterior predictive distribution;

    Abstract : Time management and distance evaluation have long been a difficult task for workers and companies. This thesis studies 6712 pothole coordinates in Gävle municipality, and evaluates the minimal total road distance needed to visit each pothole once, and return to an initial pothole. READ MORE

  3. 12. 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

  4. 13. 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

  5. 14. Exploring Column Update Elimination Optimization for Spike-Timing-Dependent Plasticity Learning Rule

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

    Author : Ojasvi Singh; [2022]
    Keywords : Spike-Timing Dependent Plasticity; neuromorphic computing; Hebbian Learning; Spiking Neural Networks; memory optimization.; Spike-Timing Beroende Plasticitet; neuromorfisk beräkning; Hebbiansk inlärning; Spiking Neural Networks; Minnes optimering;

    Abstract : Hebbian learning based neural network learning rules when implemented on hardware, store their synaptic weights in the form of a two-dimensional matrix. The storage of synaptic weights demands large memory bandwidth and storage. READ MORE

  6. 15. The Rational Investor is a Bayesian

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Jiajun Qu; [2022]
    Keywords : Portfolio optimization; Mean-variance optimization; Bayesian approach; Linear shrinkage; Black-Litterman; Robust optimization;

    Abstract : The concept of portfolio optimization has been widely studied in the academy and implemented in the financial markets since its introduction by Markowitz 70 years ago. The problem of the mean-variance optimization framework caused by input uncertainty has been one of the foci in the previous research. READ MORE