Essays about: "Pearson Correlation Coefficient"
Showing result 16 - 20 of 61 essays containing the words Pearson Correlation Coefficient.
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16. Measures of statistical dependence for feature selection : Computational study
University essay from Umeå universitet/StatistikAbstract : The importance of feature selection for statistical and machine learning models derives from their explainability and the ability to explore new relationships, leading to new discoveries. Straightforward feature selection methods measure the dependencies between the potential features and the response variable. READ MORE
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17. Analysis of factory test data of on-load tap-changers for power transformers
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : On-load tap-changers (OLTC) are devices in the power grid that keeps the voltage level constant for consumers, regardless of the power demand. Hitachi ABB Power Grids, producer of the OLTC family named VUC, guarantees 30 years of lifetime. Such a pledge requires high standard devices. READ MORE
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18. The configuration model for multi-layer networksformation
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Generating synthetic network data is a significant part of network analysis. One of the main challenges in generating synthetic networks is to preserve features observed inreality. For a long time, our social connections were mostly simulated by graphs, imitating some features, e.g. READ MORE
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19. Wine quality prediction model using machine learning techniques
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : The quality of a wine is important for the consumers as well as the wine industry. The traditional (expert) way of measuring wine quality is time-consuming. Nowadays, machine learning models are important tools to replace human tasks. READ MORE
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20. Heart rate variability as a predictor of shooting performance
University essay from Jönköping University/JTH, Avdelningen för datavetenskapAbstract : Physiological markers have long been used to monitor physiological state in individual athletes. More recently, heart rate variability (HRV) has become a popular metric to monitor athletes' physiological state over longer periods of time to guide training and detect fatigue. READ MORE
