Essays about: "interval regression"

Showing result 1 - 5 of 94 essays containing the words interval regression.

  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

  2. 2. Detection of insurance fraud using NLP and ML

    University essay from Lunds universitet/Matematisk statistik

    Author : Rasmus Bäcklund; Hampus Öhman; [2023]
    Keywords : Technology and Engineering;

    Abstract : Machine-Learning can sometimes see things we as humans can not. In this thesis we evaluated three different Natural Language Procces-techniques: BERT, word2vec and linguistic analysis (UDPipe), on their performance in detecting insurance fraud based on transcribed audio from phone calls (referred to as audio data) and written text (referred to as text-form data), related to insurance claims. READ MORE

  3. 3. Regression with Bayesian Confidence Propagating Neural Networks

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

    Author : Raghav Rajendran Bongole; [2023]
    Keywords : Machine Learning; Neural Networks; Brain-like computing; Bayesian Confidence Propagating Neural Networks; Maskininlärning; neurala nätverk; hjärnliknande datorer; Bayesian Förtroendespridande neurala nätverk;

    Abstract : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. READ MORE

  4. 4. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Humphry Takang Bate; [2023]
    Keywords : ;

    Abstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE

  5. 5. Banks´contribution to economic growth : Evidence from European countries

    University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

    Author : Amanda Weslien; [2023]
    Keywords : economic growth; bank; europe; european countries; growth; GDP; banks; GMM; profitability; Ekonomisk tillväxt; bank; europa; europeiska länder; tillväxt; BNP; banker; GMM; lönsamhet;

    Abstract : A major objective of policy makers is to achive targeted economic growth. Given the role of financial institutions and banks in today´s economy several researchers studied the relationship between economic growth and profitability of banks. READ MORE