Sökning: "bayesian optimisation"
Visar resultat 1 - 5 av 7 uppsatser innehållade orden bayesian optimisation.
1. Semi-automatic Segmentation & Alignment of Handwritten Historical Text Images with the use of Bayesian Optimisation
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3Sammanfattning : To effortlessly digitise historical documents has risen to be of great interest for some time. Part of the digitisation is what is called annotating of the data. Such data annotations are obtained in a process called alignment which links words in an image to the transcript. LÄS MER
2. Path Choice Estimation in Urban Rails : Asimulation based optimisation for frequency-based assignment model
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
3. Machine Unlearning and hyperparameters optimization in Gaussian Process regression
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The establishment of the General Data Protection Regulation (GDPR) in Europe in 2018, including the "Right to be Forgotten" poses important questions about the necessity of efficient data deletion techniques for trained Machine Learning models to completely enforce this right, since retraining from scratch such models whenever a data point must be deleted seems impractical. We tackle such a problem for Gaussian Process Regression and define in this paper an efficient exact unlearning technique for Gaussian Process Regression which completely include the optimization of the hyperparameters of the kernel function. LÄS MER
4. Subsampling Strategies for Bayesian Variable Selection and Model Averaging in GLM and BGNLM
Master-uppsats, Stockholms universitet/Statistiska institutionenSammanfattning : Bayesian Generalized Nonlinear Models (BGNLM) offer a flexible alternative to GLM while still providing better interpretability than machine learning techniques such as neural networks. In BGNLM, the methods of Bayesian Variable Selection and Model Averaging are applied in an extended GLM setting. LÄS MER
5. Joint Calibration of a Cladding Oxidation and a Hydrogen Pick-up Model for Westinghouse Electric Sweden AB
Uppsats för yrkesexamina på avancerad nivå,Sammanfattning : Knowledge regarding a nuclear power plants potential and limitations is of utmost importance when working in the nuclear field. One way to extend the knowledge is using fuel performance codes that to its best ability mimics the real-world phenomena. LÄS MER
