Essays about: "graf"

Showing result 1 - 5 of 95 essays containing the word graf.

  1. 1. Non-naivety in a long-lived ungulate : learning effects of shooting moose calves?

    University essay from SLU/Dept. of Wildlife, Fish and Environmental Studies

    Author : Lukas Graf; [2021]
    Keywords : moose; Alces alces; integrated step selection function; habitat selection; anti-predator behavior;

    Abstract : Habitat selection and movement are considered important factors for survival of game species when they are hunted by humans. To reduce their risk of predation, animals can adapt their behavior to their most abundant predator over time through experience. READ MORE

  2. 2. A Method for Finding Strategies in Pursuit-Evasion Games

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

    Author : Olaf Gren; Dennis Magnusson; [2020]
    Keywords : ;

    Abstract : Many real-world situations can be described as games over finite graphs, con- sisting of a set of agents performing joint actions affecting the state of the game. One class of games over finite graphs are the so called pursuit-evasion games, where a set of pursuers try to capture an evader on a finite map. READ MORE

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

    University essay from KTH/Matematisk statistik; 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

  4. 4. Graph neural networks for prediction of formation energies of crystals

    University essay from Linköpings universitet/Institutionen för fysik, kemi och biologi

    Author : Filip Ekström; [2020]
    Keywords : Machine learning; graph neural networks; formation energies; crystal; transfer learning; phase diagram; Maskininlärning; graf-neuronnät; formationsenergier; kristall; transfer learning; fasdiagram;

    Abstract : Predicting formation energies of crystals is a common but computationally expensive task. In this work, it is therefore investigated how a neural network can be used as a tool for predicting formation energies with less computational cost compared to conventional methods. READ MORE

  5. 5. Finding Similarities Between Hierarchically Related Thema Subject Categories Using Embeddings

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

    Author : Erik Björck; [2020]
    Keywords : ;

    Abstract : In this thesis, embeddings have been used to find similarities between hierarchically related Thema Subject Categories (Thema codes), which are short alphanumeric sequences commonly used to categorize books. More specifically, the graph embedding approach known as DeepWalk was applied to three different models to learn similarities between Thema codes. READ MORE