Essays about: "Ensemble lärande"
Found 5 essays containing the words Ensemble lärande.
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1. Predicting Breakdowns in Transportation Vehicles using Supervised Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Vehicle breakdowns can lead to fatal accidents, increase costs and reduce productivity. Therefore, robust and accurate fault diagnosis and prediction systems are critical to ensure the proper operation of vehicles. Many researchers have used machine learning for the prediction of vehicle breakdowns. READ MORE
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2. Transformer-based Source Code Description Generation : An ensemble learning-based approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Code comprehension can be significantly benefited from high-level source code summaries. For the majority of the developers, understanding another developer’s code or code that was written in the past by them, is a timeconsuming and frustrating task. READ MORE
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3. Outlier detection with ensembled LSTM auto-encoders on PCA transformed financial data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Financial institutions today generate a large amount of data, data that can contain interesting information to investigate to further the economic growth of said institution. There exists an interest in analyzing these points of information, especially if they are anomalous from the normal day-to-day work. READ MORE
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4. Imitation Learning using Reward-Guided DAgger
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : End-to-end autonomous driving can be approached by finding a policy function that maps observation (e.g. driving view of the road) to driving action. This is done by imitating an expert driver. READ MORE
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5. Multi-view versus single-view machine learning for disease diagnosis in primary healthcare
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The work presented in this report considers and compares two different approaches of machine learning towards solving the problem of disease diagnosis prediction in primary healthcare: single-view and multi-view machine learning. In particular, the problem of disease diagnosis prediction refers to the issue of predicting a (possible) diagnosis for a given patient based on her past medical history. READ MORE