Essays about: "feature modeling"
Showing result 11 - 15 of 107 essays containing the words feature modeling.
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11. Deep Learning Approach for Time- to-Event Modeling of Credit Risk
University essay from KTH/Matematisk statistikAbstract : This thesis explores how survival analysis models performs for default risk prediction of small-to-medium sized enterprises (SME) and investigates when survival analysis models are preferable to use. This is examined by comparing the performance of three deep learning models in a survival analysis setting, a traditional survival analysis model Cox Proportional Hazards, and a traditional credit risk model logistic regression. READ MORE
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12. Uncertainty quantification for neural network predictions
University essay from Umeå universitet/StatistikAbstract : Since their inception, machine learning methods have proven useful, and their usability continues to grow as new methods are introduced. However, as these methods are used for decision-making in most fields, such as weather forecasting,medicine, and stock market prediction, their reliability must be appropriately evaluated before the models are deployed. READ MORE
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13. AI based prediction of road users' intents and reactions
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Different road users follow different behaviors and intentions in the trajectories that they traverse. Predicting the intent of these road users at intersections would not only help increase the comfort of drive in autonomous vehicles, but also help detect potential accidents. READ MORE
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14. Credit Modeling with Behavioral Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, the Buy Now Pay Later service has spread across the e-commerce industry, and credit modeling is inevitable of interest for related companies to predict the default rate of the customers. The traditional data used in such models are financial bureaus which include credit records bought from external financial institutions. READ MORE
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15. Adaptive detection of anomalies in fuel system of Saab 39 Gripen using machine learning : Investigating methods to improve anomaly detection of selected signals in the fuel system of Gripen E.
University essay from Linköpings universitet/Fordonssystem; Linköpings universitet/Tekniska fakultetenAbstract : The process of flying fighter jets naturally comes with tough environments and manoeu-vres where temperatures, pressures and forces all have a large impact on the aircraft. Part degeneration and general wear and tear greatly affects functionalities of the aircraft, and it is of importance to carefully monitor the well being of an aircraft in order to avoid catastrophic accidents. READ MORE
