Essays about: "binary classification"
Showing result 16 - 20 of 217 essays containing the words binary classification.
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16. Machine Learning based Predictive Data Analytics for Embedded Test Systems
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. READ MORE
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17. A Comparative Analysis of Decision Tree Models in Identifying Landslide Susceptibility and Type Classification
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Landslides pose a significant risk to human life and infrastructure, especially in Italy, which has a high frequency of landslide occurrences. To mitigate these hazards, Landslide Susceptibility Mapping (LSM) is crucial for identifying risk areas and developing appropriate mitigation strategies. READ MORE
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18. A Rank Score Model of Variants Prioritization for Rare Disease
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : The diagnosis of genetic illnesses has undergone a revolution with advancements in sequencing technology. Next-generation sequencing (NGS) has become a standard practice in genetic diagnostics, enabling the identification of various genetic variations. READ MORE
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19. Quantum Algorithms for Feature Selection and Compressed Feature Representation of Data
University essay from KTH/FysikAbstract : Quantum computing has emerged as a new field that may have the potential to revolutionize the landscape of information processing and computational power, although physically constructing quantum hardware has proven difficult,and quantum computers in the current Noisy Intermediate Scale Quantum (NISQ) era are error prone and limited in the number of qubits they contain.A sub-field within quantum algorithms research which holds potential for the NISQ era, and which has seen increasing activity in recent years, is quantum machine learning, where researchers apply approaches from classical machine learning to quantum computing algorithms and explore the interplay between the two. READ MORE
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20. An Evaluation of Classical and Quantum Kernels for Machine Learning Classifiers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Quantum computing is an emerging field with potential applications in machine learning. This research project aimed to compare the performance of a quantum kernel to that of a classical kernel in machine learning binary classification tasks. READ MORE