Essays about: "statistisk inlärning"

Showing result 11 - 15 of 23 essays containing the words statistisk inlärning.

  1. 11. Synthesis of Tabular Financial Data using Generative Adversarial Networks

    University essay from KTH/Matematisk statistik

    Author : Anton Karlsson; Torbjörn Sjöberg; [2020]
    Keywords : Generative Adversarial Networks; GAN; Generative Modeling; Tabular data; Financial data; Machine Learning; Statistical learning; Applied Mathematics; GANs; Generativa modeller; Tabulär data; Finansdata; Maskininlärning; Statistisk inlärning; Tillämpad Matematik;

    Abstract : Digitalization has led to tons of available customer data and possibilities for data-driven innovation. However, the data needs to be handled carefully to protect the privacy of the customers. Generative Adversarial Networks (GANs) are a promising recent development in generative modeling. READ MORE

  3. 12. Early-Stage Prediction of Lithium-Ion Battery Cycle Life Using Gaussian Process Regression

    University essay from KTH/Matematisk statistik

    Author : Love Wikland; [2020]
    Keywords : Statistical learning; prediction; regression; Gaussian processes; lithium-ion battery; battery health; battery lifetime; Statistisk inlärning; prediction; regression; Gaussiska processer; litiumjonbatteri; batterihälsa; batterilivstid;

    Abstract : Data-driven prediction of battery health has gained increased attention over the past couple of years, in both academia and industry. Accurate early-stage predictions of battery performance would create new opportunities regarding production and use. READ MORE

  4. 13. Using Graph Neural Networks for Track Classification and Time Determination of Primary Vertices in the ATLAS Experiment

    University essay from KTH/Matematisk statistik

    Author : Mattias Gullstrand; Stefan Maraš; [2020]
    Keywords : Time determination; graph neural network; graph attentional network; HGTD; vertex; node classification; particle physics; machine learning; Tidsbestämning; neurala grafnätverk; uppvaktande grafnätverk; HGTD; vertex; nodklassificering; partikelfysik; statistisk inlärning;

    Abstract : Starting in 2027, the high-luminosity Large Hadron Collider (HL-LHC) will begin operation and allow higher-precision measurements and searches for new physics processes between elementary particles. One central problem that arises in the ATLAS detector when reconstructing event information is to separate the rare and interesting hard scatter (HS) interactions from uninteresting pileup (PU) interactions in a spatially compact environment. READ MORE

  5. 14. One-shot learning through generalized representations with neural networks

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

    Author : Paul Vinell; Adam Wiker; [2020]
    Keywords : ;

    Abstract : Despite the rapid progress in the field of machine learning and artificial neural networks, many hurdles yet remain before machines can match human capabilities. One such hurdle is the copious amount of data required for these learning machines to reach adequate performance. READ MORE

  6. 15. Power Plant Operation Optimization Economic dispatch of combined cycle power plants

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Stefano Rosso; [2019]
    Keywords : ;

    Abstract : As electricity production from renewable sources increases, higher flexibility is required by fossil fuel generation to cope with the inherent fluctuations of solar and wind power. This results in shorter operating cycles and steeper ramps for the turbines, and more uncertainty for the operators. READ MORE