Sökning: "Lars Asker"

Visar resultat 6 - 9 av 9 avhandlingar innehållade orden Lars Asker.

  1. 6. Learning predictive models from graph data using pattern mining

    Författare :Thashmee M. Karunaratne; Henrik Boström; Lars Asker; Nada Lavraˇc; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Graph Data; Pattern Mining; Classification; Regression; Predictive Models; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Learning from graphs has become a popular research area due to the ubiquity of graph data representing web pages, molecules, social networks, protein interaction networks etc. However, standard graph learning approaches are often challenged by the computational cost involved in the learning process, due to the richness of the representation. LÄS MER

  2. 7. A Theoretical Model for Telemedicine : Social and Value Outcomes in Sub-Saharan Africa

    Författare :Mengistu Kifle Gelan; Lars Asker; Philip F. Musa; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Telemedicine e-health; Sub-Saharan Africa; Least developed Countries; Visually based Clinical Applications; Information and Communication Technology ICT Transfer; Partial Least Squares; Culture; Computer and systems science; Data- och systemvetenskap;

    Sammanfattning : The Sub-Saharan Africa (SSA) region is faced with limited medical personnel and healthcare services to address the many healthcare problems of the region. Poor health indicators reflect the overall decline in socio-economic development. LÄS MER

  3. 8. Factors affecting the use of data mining in Mozambique : Towards a framework to facilitate the use of data mining

    Författare :Constantino Sotomane; Lars Asker; Henrik Boström; Venancio Massingue; Panagiotis Papapetrou; Stockholms universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Advances in technology have enabled organizations to collect a variety ofdata at high speed and provided the capacity to store them. As a result theamount of data available is increasing daily at a rapid rate. The data stored inorganizations hold important information to improve decision making andgain competitive advantage. LÄS MER

  4. 9. The Non-Player Character : Exploring the believability of NPC presentation and behavior

    Författare :Henrik Warpefelt; Verhagen Harko; Lars Asker; Richard Bartle; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Over the last few decades there has been immense growth in the video game industry, and we have seen great improvements in both graphics and audio. Unfortunately, the development of artificial intelligence (AI) and non-player characters (NPCs) has not proceeded at the same pace. LÄS MER