Essays about: "Hierarchical clustering"
Showing result 21 - 25 of 106 essays containing the words Hierarchical clustering.
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21. Cluster selection for Clustered Federated Learning using Min-wise Independent Permutations and Word Embeddings
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Federated learning is a widely established modern machine learning methodology where training is done directly on the client device with local client data and the local training results are shared to compute a global model. Federated learning emerged as a result of data ownership and the privacy concerns of traditional machine learning methodologies where data is collected and trained at a central location. READ MORE
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22. Hierarchical Clustering To Improve Portfolio Tail Risk Characteristics
University essay from Lunds universitet/Matematisk statistikAbstract : Many agree that estimating portfolio risks has better estimation possibilities, than estimations on returns. Therefore investors attempts to construct better, more efficient riskmanaged portfolios by diversifying portfolios through factors rather than traditional asset classes. READ MORE
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23. Agriculture monitoring using satellite data
University essay from Luleå tekniska universitet/RymdteknikAbstract : As technology advances, the possibility of using satellite data and observations to aid inagricultural activities comes closer to reality. Swedish farmers can apply for subsidies for their land in which crop management and animal grazing occurs, and every year thousands of manual follow-up checks are conducted by Svenska Jordbruksverket (Swedish Board of Agriculture) to validate the farmers’ claims to financial aid. READ MORE
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24. Hierarchical Clustering in Risk-Based Portfolio Construction
University essay from KTH/Matematisk statistikAbstract : Following the global financial crisis, both risk-based and heuristic portfolio construction methods have received much attention from both academics and practitioners since these methods do not rely on the estimation of expected returns and as such are assumed to be more stable than Markowitz's traditional mean-variance portfolio. In 2016, Lopéz de Prado presented the Hierarchical Risk Parity (HRP), a new approach to portfolio construction which combines hierarchical clustering of assets with a heuristic risk-based allocation strategy in order to increase stability and improve out-of-sample performance. READ MORE
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25. It’s a Match: Predicting Potential Buyers of Commercial Real Estate Using Machine Learning
University essay from Uppsala universitet/Institutionen för informatik och mediaAbstract : This thesis has explored the development and potential effects of an intelligent decision support system (IDSS) to predict potential buyers for commercial real estate property. The overarching need for an IDSS of this type has been identified exists due to information overload, which the IDSS aims to reduce. READ MORE
