Essays about: "Synthetic Data-sets"
Showing result 1 - 5 of 41 essays containing the words Synthetic Data-sets.
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1. Artificial Transactional Data Generation for Benchmarking Algorithms
University essay from Umeå universitet/Institutionen för fysikAbstract : Modern retailers have been collecting more and more data over the past decades. The increased sizes of collected data have led to higher demand for data analytics expertise tools, which the Umeå-founded company Infobaleen provides. A recurring challenge when developing such tools is the data itself. READ MORE
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2. An empirical study of the impact of data dimensionality on the performance of change point detection algorithms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : When a system is monitored over time, changes can be discovered in the time series of monitored variables. Change Point Detection (CPD) aims at finding the time point where a change occurs in the monitored system. READ MORE
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3. Remote Sensing of Cryospheric Surfaces : Small Scale Surface Roughness Signatures in Satellite Altimetry Data
University essay from Umeå universitet/Institutionen för fysikAbstract : The Arctic cryosphere is experiencing a higher rate of warming compared to the rest of the world due to Arctic amplification. As glacier elevation change provide reliable evidence of climate change it is routinely measured by satellite altimeters. READ MORE
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4. Multi-factor approximation : An analysis and comparison ofMichael Pykhtin's paper “Multifactor adjustment”
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : The need to account for potential losses in rare events is of utmost importance for corporations operating in the financial sector. Common measurements for potential losses are Value at Risk and Expected Shortfall. These are measures of which the computation typically requires immense Monte Carlo simulations. READ MORE
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5. Generative AI for Synthetic Data
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Synthetic data generation has emerged as a valuable technique for addressing data scarcity and privacy concerns and improving machine learning algorithms. This thesis focuses on progressing the field of synthetic data generation, which may play a crucial role in AI-heavy industries such as telecommunications. READ MORE