Sökning: "Dependency models"

Visar resultat 21 - 25 av 174 uppsatser innehållade orden Dependency models.

  1. 21. Decentralized renewable energy - an enabler for development in the agriculture sector in rural areas of Sub-Saharan Africa?

    Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Författare :Alva Ohlsson; Ellen Weckström; [2022-07-07]
    Nyckelord :;

    Sammanfattning : The majority of the globally poor population, characterized by agricultural dependency as well as energy poverty, is located in Sub-Saharan Africa. Previous research states that energy benefits agriculture sectors. One reason why the agrarian society lacks access to electricity is because of the insufficient infrastructure in the remote areas. LÄS MER

  3. 22. Multitrådad Schemaläggning avxtUML Modeller : Utfört på Saab Dynamics

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Carolina Gripsborn; [2022]
    Nyckelord :xtuml; bridgepoint; multithreading; xtuml; bridgepoint; multitrådning;

    Sammanfattning : Executable and Translatable UML (xtUML) is a modeling methodology where a system is constructed using a set of UML models and an action language, which can be translated to a target implementation and compiled into an executable program. It allows for good readability and understanding of the workings of the system and relations between its different parts, easy testing and reusability. LÄS MER

  4. 23. Risk Assessment of International Mixed Asset Portfolio with Vine Copulas

    Kandidat-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

    Författare :Axel Nilsson; [2022]
    Nyckelord :Vine Copulas; Extreme Value Theory; Financial Risk Management; Vine Copulas; Extremvärdesteori; Finansiell riskhantering;

    Sammanfattning : This thesis gives an example of assessing the risk of a financial portfolio with international assets, where the assets may be of different classes, by the use of Monte Carlo simulation and Extreme Value Theory. The simulation uses univariate modelling, models of the assets’ returns as stochastic processes, as well as vine copulas to create dependency between the variables. LÄS MER

  5. 24. 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

  7. 25. Distillation or loss of information? : The effects of distillation on model redundancy

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Eva Elzbieta Sventickaite; [2022]
    Nyckelord :distillation; distillation effects; distilbert; distilmbert; distilroberta; distilgpt-2; distilled neurons; redundancy; redundancy in neural networks; redundancy in language models; neuron reduction in language models; distilled language models;

    Sammanfattning :     The necessity for billions of parameters in large language models has lately been questioned as there are still unanswered questions regarding how information is captured in the networks. It could be argued that without this knowledge, there may be a tendency to overparametarize the models. LÄS MER