Essays about: "expectation maximization"
Showing result 16 - 20 of 41 essays containing the words expectation maximization.
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16. Using Primary Dynamic Factor Analysis on repeated cross-sectional surveys with binary responses
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : With the growing popularity of business analytics, companies experience an increasing need of reliable data. Although the availability of behavioural data showing what the consumers do has increased, the access to data showing consumer mentality, what the con- sumers actually think, remain heavily dependent on tracking surveys. READ MORE
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17. Particle-based Stochastic Volatility in Mean model
University essay from KTH/Matematisk statistikAbstract : This thesis present a Stochastic Volatility in Mean (SVM) model which is estimated using sequential Monte Carlo methods. The SVM model was first introduced by Koopman and provides an opportunity to study the intertemporal relationship between stock returns and their volatility through inclusion of volatility itself as an explanatory variable in the mean-equation. READ MORE
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18. Machine learning multicriteria optimization in radiation therapy treatment planning
University essay from KTH/Matematisk statistikAbstract : In radiation therapy treatment planning, recent works have used machine learning based on historically delivered plans to automate the process of producing clinically acceptable plans. Compared to traditional approaches such as repeated weighted-sum optimization or multicriteria optimization (MCO), automated planning methods have, in general, the benefits of low computational times and minimal user interaction, but on the other hand lack the flexibility associated with general-purpose frameworks such as MCO. READ MORE
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19. Approximate Inference Low-Complexity MIMO Detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the telecommunications field, the correct detection of a certain signal is of most interest as it improves the robustness of the system. With multiple-input multiple-output (MIMO) antenna systems a new problem arises, the increase in complexity of the detection algorithms with the number of antennas. READ MORE
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20. A Gaussian Mixture Model based Level Set Method for Volume Segmentation in Medical Images
University essay from Linköpings universitet/Beräkningsmatematik; Linköpings universitet/Tekniska fakultetenAbstract : This thesis proposes a probabilistic level set method to be used in segmentation of tumors with heterogeneous intensities. It models the intensities of the tumor and surrounding tissue using Gaussian mixture models. READ MORE
