Essays about: "Bayesiansk optimering"
Showing result 1 - 5 of 14 essays containing the words Bayesiansk optimering.
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1. A personalized quasi-passive ankleexoskeleton using human-in-the loop optimization approaches
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Passive ankle exoskeletons have been proven to successfully decrease muscle demand for walking. The movement of the user’s ankle drives a mechanical clutch and spring, which eventually stores and returns mechanical energy to the user. READ MORE
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2. Computationally Efficient Explainable AI: Bayesian Optimization for Computing Multiple Counterfactual Explanantions
University essay from KTH/Matematik (Avd.)Abstract : In recent years, advanced machine learning (ML) models have revolutionized industries ranging from the healthcare sector to retail and E-commerce. However, these models have become increasingly complex, making it difficult for even domain experts to understand and retrace the model's decision-making process. READ MORE
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3. A Predictive Analysis of Customer Churn
University essay from KTH/Matematisk statistikAbstract : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. READ MORE
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4. Tracking Optimization in Agrivoltaic Systems : A Comparative Study for Apple Orchards
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Agrivoltaic (APV) systems, based on the co-location of solar panels and crops, are an innovative solution to land-use conflicts that often arise between agriculture and energy production. Their optimal functioning starts with efficient management and sharing of light between solar panels and underlying plants. READ MORE
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5. Auto-Tuning Apache Spark Parameters for Processing Large Datasets
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Apache Spark is a popular open-source distributed processing framework that enables efficient processing of large amounts of data. Apache Spark has a large number of configuration parameters that are strongly related to performance. Selecting an optimal configuration for Apache Spark application deployed in a cloud environment is a complex task. READ MORE