Sökning: "generalise"

Visar resultat 6 - 10 av 91 uppsatser innehållade ordet generalise.

  1. 6. Development of a Method to Determine the Influence of Rubber Components in Dynamic Simulations

    Master-uppsats, KTH/Farkostteknik och Solidmekanik

    Författare :Mårten Vuorinen; [2022]
    Nyckelord :;

    Sammanfattning : In order to make sure that an engine can withstand the vibration loads, while the weight is kept as low as possible, some components on the engine are made of rubber. The stiffness of these rubber components are several orders of magnitude lower than the surrounding metal components, and the inclusion of rubber components affects the dynamic behaviour of the engine. LÄS MER

  3. 7. Då äldreomsorgen inte räcker till : Om rutiner för arbetet med missbrukare inom äldreomsorgen

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för socialt arbete (SA)

    Författare :Hanne Jannehag; Martin Syrén; [2022]
    Nyckelord :NPM; social work; mixed methods; swedish elder care; addiction; alcohol abuse; NPM; socialt arbete; mixed methods; svensk äldreomsorg; äldreomsorg; beroende; alkoholmissbruk;

    Sammanfattning : In recent years alcohol consumption among the elderly population in Sweden has risen. While cooperation between elder care organisations and addiction and substance abuse organisations among individual municipalities has increased, only a fifth of Swedish municipalities have revised guidelines directed toward elder care, describing how social workers are supposed to process this part of the elder population. LÄS MER

  4. 8. Memory and Reasoning in Deep Learning : Data efficiency of the SAM-based Two-memory (STM) Model

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Andrzej Perzanowski; [2022]
    Nyckelord :Deep learning; Data efficiency; Memory-augmented neural networks; Memory; Reasoning; bAbI challenge; Djupinlärning; Dataeffektivitet; Minnesförstärkta nätverk; Minne; Resonemang; bAbI-utmaning;

    Sammanfattning : Developing Deep Learning models capable of learning to reason and store memories are some of the most important current challenges in AI research. Finding out which network architectures are best suited for tackling this problem can guide research toward the most promising approaches. LÄS MER

  5. 9. The effects of multistep learning in the hard-exploration problem

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jacob Friman; [2022]
    Nyckelord :;

    Sammanfattning : Reinforcement learning is a machine learning field which has received revitalised interest in later years due to many success stories and advancements in deep reinforcement learning. A key part in reinforcement learning is the need for exploration of the environment so the agent can properly learn the best policy. LÄS MER

  7. 10. På turkiska fronten intet nytt

    Kandidat-uppsats, Lunds universitet/Statsvetenskapliga institutionen

    Författare :Johan Fredrik Schäfer; [2022]
    Nyckelord :migranter flyktingar; CEM; tvång; EU-Turkiet; capacity swamping; political agitation; Law and Political Science;

    Sammanfattning : This paper builds upon the work by Kelly Greenhill in Weapons of Mass Migration (2010). Greenhill's theory on coercive engineered migration (CEM) focuses on the instrumentalisation of cross-border population movements with strategic political and/or economic goals. LÄS MER