Essays about: "Probabilistic Machine Learning"

Showing result 16 - 20 of 49 essays containing the words Probabilistic Machine Learning.

  1. 16. Adaptive Algorithm for Forecasting of Medium-term District Heating Demand

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

    Author : Jonathan Jan; [2021]
    Keywords : ;

    Abstract : District heating is one of the most sustainable ways of producing and distributing heat to residential and industrial buildings. District heating load forecasting in the medium- to long-term have an important role in production planning and the strategic development of the district heating market. READ MORE

  3. 17. Machine Learning for LiDAR-SLAM : In Forest Terrains

    University essay from Linköpings universitet/Datorseende

    Author : Anton Hjert; [2021]
    Keywords : SLAM; Point set registration; Scan correction; Simultaneous localization and mapping; AdaBound;

    Abstract : Point set registration is a well-researched yet still not a very exploited area in computer vision. As the field of machine learning grows, the possibilities of application expand. READ MORE

  4. 18. Modelling approach and avoidance behaviour : A deep learning approach to understand the human olfactory system

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

    Author : Frans Nordén; [2021]
    Keywords : Probabilistic Machine Learning; Variational Recurrent Neural Network; EEG; Approach and Avoidance behaviour; Frontal alpha asymmetry; Probabilistisk Maskininlärning; Variational Recurrent Neural Network; EEG; Approach and Avoidance behaviour; Frontal alpha asymmetri;

    Abstract : In this thesis we examine the question whether it is possible to model approach and avoidance behaviour with probabilistic machine learning. The results from this project will primarily aid in our collective understanding of human existence. READ MORE

  5. 19. Prediction of Dose Probability Distributions Using Mixture Density Networks

    University essay from KTH/Matematisk statistik

    Author : Viktor Nilsson; [2020]
    Keywords : Applied mathematics; machine learning; deep learning; mixture density network; dose planning; Tillämpad matematik; maskininlärning; djupinlärning; mixturdensitetsnätverk; dosplannerning;

    Abstract : In recent years, machine learning has become utilized in external radiation therapy treatment planning. This involves automatic generation of treatment plans based on CT-scans and other spatial information such as the location of tumors and organs. READ MORE

  6. 20. Image Distance Learning for Probabilistic Dose–Volume Histogram and Spatial Dose Prediction in Radiation Therapy Treatment Planning

    University essay from KTH/Matematisk statistik

    Author : Ivar Eriksson; [2020]
    Keywords : Radiation therapy; automated planning; machine learning; autoencoder; distance optimisation; sparse pseudo-input Gaussian process; kernel density estimation; dose mimicking; dose–volume histogram; Strålbehandling; automatiserad dosplanering; maskininlärning; autoencoder; distansoptimering; glesa Gaussiska processer; sannolikhets-fördelnings-estimering; dosrekonstruktion; dos–volymhistogram;

    Abstract : Construction of radiotherapy treatments for cancer is a laborious and time consuming task. At the same time, when presented with a treatment plan, an oncologist can quickly judge whether or not it is suitable. This means that the problem of constructing these treatment plans is well suited for automation. READ MORE