Essays about: "Adaptive Boosting"
Showing result 1 - 5 of 7 essays containing the words Adaptive Boosting.
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1. In-Situ Gold Resource Estimation Using Satellite Remote Sensing and Machine Learning in Defunct Tailing Storage Facilities (South Africa)
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : The mining industry generates billions of tonnes of waste annually, which is often stored in tailings storage facilities (TSF). This waste is generated from the extraction of ore from surface or underground mines, as well as from metallurgical processing and low-grade stockpiles. READ MORE
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2. Predicting misuse of subscription tranquilizers : A comparasion of regularized logistic regression, Adaptive Bossting and support vector machines
University essay from Uppsala universitet/Statistiska institutionenAbstract : Tranquilizer misuse is a behavior associated with substance use disorder. As of now there is only one published article that includes a predictive model on misuse of subscription tranquilizers. READ MORE
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3. Email classification using machine learning algorithms
University essay from Uppsala universitet/Institutionen för materialvetenskapAbstract : The goal of this project is to construct a machine learning algorithmthat improves over time. This was done by first constructing a datasetthat reflects real world messages, that would simulate receiving emailsfrom two different sources. The data set was constructed by combiningdata from two different online forums. READ MORE
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4. Adaptive detection of anomalies in the Saab Gripen fuel tanks using machine learning
University essay from Uppsala universitet/Signaler och systemAbstract : Gripen E, a fighter jet developed by Saab, has to fulfill a number of specifications and is therefore tested thoroughly. This project is about detecting anomalies in such tests and thereby improving the automation of the test data evaluation. READ MORE
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5. Model Distillation for Deep-Learning-Based Gaze Estimation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the recent advances in deep learning, the gaze estimation models reached new levels, in terms of predictive accuracy, that could not be achieved with older techniques. Nevertheless, deep learning consists of computationally and memory expensive algorithms that do not allow their integration for embedded systems. READ MORE