Essays about: "dropout prediction"
Showing result 1 - 5 of 13 essays containing the words dropout prediction.
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1. Prediction of multiple conformational states of membrane proteins
University essay from Linköpings universitet/BioinformatikAbstract : Predicting protein structures has long been an area of active research in the field ofbioinformatics. Great strides have recently been made in this area by googles DeepMindteam. They developed an AI called AlphaFold which is able to make the most accuratepredictions of protein structures as of date. READ MORE
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2. Uncertainty Estimation in Radiation Dose Prediction U-Net
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The ability to quantify uncertainties associated with neural network predictions is crucial when they are relied upon in decision-making processes, especially in safety-critical applications like radiation therapy. In this paper, a single-model estimator of both epistemic and aleatoric uncertainties in a regression 3D U-net used for radiation dose prediction is presented. READ MORE
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3. Are Distributed Representations in Neural Networks More Robust Against Malicious Fooling Attacks
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : A plethora of data from sources like IoT, social websites, health, business, and many more have revolutionized the digital world in recent years. To make effective use of data for any sort of analysis, prediction, or automation of applications, the demand for machine learning and artificial intelligence has grown over time. READ MORE
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4. 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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5. Deep Learning for estimation of fingertip location in 3-dimensional point clouds : An investigation of deep learning models for estimating fingertips in a 3D point cloud and its predictive uncertainty
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Sensor technology is rapidly developing and, consequently, the generation of point cloud data is constantly increasing. Since the recent release of PointNet, it is possible to process this unordered 3-dimensional data directly in a neural network. READ MORE
