Essays about: "Principal component analysis"
Showing result 16 - 20 of 323 essays containing the words Principal component analysis.
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16. Environmental performance and sovereign bond yields: Evidence from emerging markets
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : This thesis analyses if investors price a country’s environmental (E) performance into sovereign bond yields. The sample consists of 17 emerging countries from 2011 to 2020. READ MORE
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17. Identifying effects of adrenaline and dopamine binding on the beta2-adrenergic receptor structure and function using machine learning
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : The beta2-adrenergic receptor is a G-protein coupled receptor, involved in several physiological processes, which enables signaling through the cell membrane. To study the effect of dopamine and adrenaline binding on the receptor structure and function, we used machine learning methods applied to data from molecular dynamics simulations. READ MORE
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18. Exploring Feature Selection Techniques for Machine Learning-based Melanoma Skin Cancer Classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One of the most globally common types of cancer is skin cancer, where melanoma is the most deadly form. An important and promising tool for diagnosing diseases such as skin cancer is computer aided diagnostics, a tool which utilizes machine learning to predict and classify cancer. READ MORE
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19. Evaluating clustering techniques in financial time series
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. READ MORE
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20. An Open-Source Autoencoder Compression Tool for High Energy Physics
University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenAbstract : A common problem across scientific fields and industries is data storage. This thesis presents an open-source lossy data compression tool with its foundation in Machine Learning - Baler. Baler has been used to compress High Energy Physics (HEP) data, and initial compression tests on Computational Fluid Dynamics (CFD) toy data have been performed. READ MORE