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Showing result 1 - 5 of 65 essays matching the above criteria.
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1. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. READ MORE
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2. Measuring copper abundances in the Galactic Bulge
University essay from Lunds universitet/Astrofysik; Lunds universitet/Fysiska institutionenAbstract : Context: The chemical evolution of Cu in the Galactic bulge have been studied in a few studies using red giant branch stars, but the ages of individual red giant stars are difficult to determine. In addition, the bulge has been a challenging region of the Milky Way galaxy to obtain high-resolution spectra of stars, except when observing through certain few small fields into the bulge that are known to have low extinction. READ MORE
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3. Screening pyrolysis bio-oil as binder for carbon anode in aluminium production
University essay from KTH/Fiber- och polymerteknologiAbstract : Den högkvalitativa stenkolstjäran, som används som anodbindemedel inom aluminiumindustrin, innebär utmaningar när det gäller att möta kraven på kolanod. Dess produktion är beroende av ohållbara fossila bränslen, vilket bidrar till ökade koldioxidutsläpp. READ MORE
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4. Prediction of the gain in classification performance from combining multiple imaging modalities
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In this work, we investigate the relationship between different image modalities and classification performance, aiming to predict the potential gain in classification accuracy when combining multiple modalities. We analyze mathematical and statistical measures and develop novel reconstruction measures (RMSE and RSSIM) to assess information distribution between different image modalities. READ MORE
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5. 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
