Essays about: "Hellinger Distance"
Showing result 1 - 5 of 6 essays containing the words Hellinger Distance.
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1. 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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2. Digital Signal Characterization for Seizure Detection Using Frequency Domain Analysis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Nowadays, a significant proportion of the population in the world is affected by cerebral diseases like epilepsy. In this study, frequency domain features of electroencephalography (EEG) signals were studied and analyzed, with a view being able to detect epileptic seizures more easily. READ MORE
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3. Hellinger Distance-based Similarity Measures for Recommender Systems
University essay from Umeå universitet/StatistikAbstract : Recommender systems are used in online sales and e-commerce for recommending potential items/products for customers to buy based on their previous buying preferences and related behaviours. Collaborative filtering is a popular computational technique that has been used worldwide for such personalized recommendations. READ MORE
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4. A Comparison of Three Methods of Estimation Applied to Contaminated Circular Data
University essay from Umeå universitet/StatistikAbstract : This study compares the performance of the Maximum Likelihood estimator (MLE), estimators based on spacings called Generalized Maximum Spacing estimators (GSEs), and the One Step Minimum Hellinger Distance estimator (OSMHD), on data originating from a circular distribution. The purpose of the study is to investigate the different estimators’ performance on directional data. READ MORE
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5. CREDIT CARD FRAUD DETECTION (Machine learning algorithms)
University essay from Umeå universitet/StatistikAbstract : Credit card fraud is a field with perpetrators performing illegal actions that may affect other individuals or companies negatively. For instance, a criminalcan steal credit card information from an account holder and then conduct fraudulent transactions. READ MORE