Essays about: "quantile regression neural network"

Found 4 essays containing the words quantile regression neural network.

  1. 1. Uncertainty Estimation in Radiation Dose Prediction U-Net

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Frida Skarf; [2023]
    Keywords : Radiation dose prediction models; U-net; quantile regression; Monte Carlo Dropout; epistemic uncertainty estimation; aleatoric uncertainty estimation; Stråldospredicerande modeller; U-net; kvantilregression; Monte Carlo Dropout; epistemisk osäkerhetsskattning; aletorisk osäkerhetsskattning;

    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

  3. 2. Extreme Quantile Estimation of Downlink Radio Channel Quality

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Philip Palapelas Kantola; [2021]
    Keywords : quantile regression; telecommunications; machine learning; quantile regression neural network; link adaptation; sinr;

    Abstract : The application area of Fifth Generation New Radio (5G-NR) called Ultra-Reliable and Low-Latency Communication (URLLC) requires a reliability, the probability of receiving and decoding a data packet correctly, of 1 - 10^5. For this requirement to be fulfilled in a resource-efficient manner, it is necessary to have a good estimation of extremely low quan- tiles of the channel quality distribution, so that appropriate resources can be distributed to users of the network system. READ MORE

  4. 3. How Certain Are You of Getting a Parking Space? : A deep learning approach to parking availability prediction

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Mathias Nilsson; Sophie von Corswant; [2020]
    Keywords : monte carlo dropout; mc dropout; long short term memory; lstm; neural network; recurrent neural network; gradient tree boosting; rnn; gradient boosting regression tree; gbrt; quantile regression; traffic congestion; parking; parking occupancy; parking availability; parking space; parking lot; machine learning;

    Abstract : Traffic congestion is a severe problem in urban areas and it leads to the emission of greenhouse gases and air pollution. In general, drivers lack knowledge of the location and availability of free parking spaces in urban cities. READ MORE

  5. 4. Forecasting the Regulating Price in the Finnish Energy Market using the Multi-Horizon Quantile Recurrent Neural Network

    University essay from Lunds universitet/Matematisk statistik

    Author : Thomas Hamfelt; [2020]
    Keywords : Energy; Finland; Regulating market; Balancing market; Deep learning; Quantile regression; Time series analysis.; Mathematics and Statistics;

    Abstract : In recent years there has been a large increase in available data from the electric grid in Finland. The availability of both operational as well as financial data enables exploration of forecasting energy prices using deep learning techniques. READ MORE