Essays about: "bayesian optimization"
Showing result 16 - 20 of 73 essays containing the words bayesian optimization.
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16. Active Learning for Solving Expensive Optimization Problems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Many practical engineering and computer science problems can be translated into a global otimization problem where the task is to find the best (optimal) vector 𝒙𝒙∗ that gives the smallest possible function value 𝑓𝑓 = 𝑓𝑓(𝒙𝒙∗) for some function 𝑓𝑓() of interest. Often the function 𝑓𝑓() is expensive in the sense that it cannot be easily evaluated computationally or experimentally in terms of time and/or resources required. READ MORE
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17. Path Choice Estimation in Urban Rails : Asimulation based optimisation for frequency-based assignment model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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18. Workload Detection and Continuous Automatic Bayesian Optimization in Database Management Systems
University essay from Lunds universitet/Institutionen för datavetenskapAbstract : The goal of this thesis has been to investigate the possibility of multi-workload optimization in Database Management Systems and workload detection. A system was successfully constructed to allow for multi-workload testing and data aggregation. READ MORE
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19. Generating fishing boats behaviour based on historic AIS data : A method to generate maritime trajectories based on historicpositional data
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : This thesis describes a method to generate new trajectories based on historic positiondata for a given geographical area. The thesis uses AIS-data from fishing boats to first describe a method that uses DBSCAN and OPTICS algorithms to cluster the data into clustersbased on routes where the boats travel and areas where the boats fish. READ MORE
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20. Avoiding local minima with Genetic programming of Behavior Trees
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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