Essays about: "bayesian var model"
Showing result 21 - 25 of 42 essays containing the words bayesian var model.
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21. Classification of Wi-Fi Sensor Data for a Smarter City : Probabilistic Classification using Bayesian Statistics
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : As cities are growing with an increasing number of residents, problems with the traffic such as congestion and larger emission arise. The city planners have challenges with making it as easy as possible for the residents to commute and in as large scale as possible to avoid vehicles. READ MORE
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22. Automatic tag suggestions using a deep learning recommender system
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This study was conducted to investigate how well deep learning can be applied to the field of tag recommender systems. In the context of an image item, tag recommendations can be given based on tags already existing on the item, or on item content information. READ MORE
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23. Attempts at using Bayesian neural networksfor uncertainty assessments of temperature forecasts
University essay from Lunds universitet/Förbränningsfysik; Lunds universitet/Fysiska institutionenAbstract : This thesis describes attempts at estimating the uncertainty of the 2-metre temperature forecast error from a probabilistic point of view, utilizing Bayesian neural networks. Bayesian neural networks are a type of machine-learning algorithms used to find patterns in data and make probabilistic predictions. READ MORE
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24. Understanding Bayesian stellar distance and stellar parameter estimation
University essay from Lunds universitet/Astronomi - Genomgår omorganisationAbstract : The consensus in the field is that we have a pretty good understanding of the physics behind star formation and evolution. So far, the models that have been created characterize the different collections of stars in our Milky Way galaxy with decent accuracy, and they have allowed for humanity to obtain insights into how our universe evolved. READ MORE
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25. Rating corrumption within insurance companies using Bayesian network classifiers
University essay from Umeå universitet/StatistikAbstract : Bayesian Network (BN) classifiers are a type of probabilistic models. The learning process consists of two steps, structure learning and parameter learning. Four BN classifiers will be learned. These are two different Naive Bayes classifiers (NB), one Tree Augmented Naive Bayes classifier (TAN) and one Forest Naive Bayes classifier (FAN). READ MORE
