Essays about: "dataeffektivitet"

Found 3 essays containing the word dataeffektivitet.

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

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

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

    Abstract : 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. READ MORE

  3. 2. Model-based Residual Policy Learning for Sample Efficient Mobile Network Optimization

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

    Author : Viktor Eriksson Möllerstedt; [2022]
    Keywords : Reinforcement Learning; Sample Efficiency; Model-based; Expert Policy; Remote Electrical Tilt; Telecommunication; Förstärkande inlärning; dataeffektivitet; modell-baserad; expert-policy; fjärrstyrning av antenners nedåtlutning; telekommunikation;

    Abstract : Reinforcement learning is a powerful tool which enables an agent to learn how to control complex systems. However, during the early phases of training, the performance is often poor. READ MORE

  4. 3. Study and Case of Wrong-Way Risk : Explorative Search for Wrong-Way Risk

    University essay from Karlstads universitet/Handelshögskolan (from 2013)

    Author : Jonathan Grönberg; [2019]
    Keywords : Wrong-way risk; Credit value adjustment; Debit value adjustment; Bilateral credit value adjustment; Felvägsrisk; Kreditvärdesjustering; Debetvärdesjustering; Bilateral kreditvärdesjustering;

    Abstract : Usage of financial measurements that address the default probability of counterparties have been market practice for some time. Quantifying counterparty credit risk is usually done through the credit value adjustment which adjusts the value from a risk-free value to a risky value. READ MORE