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Visar resultat 1 - 5 av 60 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Robert Iain Salter; [2023]
    Nyckelord :Behavioural Credit Scoring; Deep Learning; Machine Learning; Long Short-Term Memory; Default Prediction;

    Sammanfattning : Credit scoring is critical for banks to evaluate new loan applications and monitor existing customers. Machine learning has been extensively researched for this case; however, the adoption of machine learning methods is minimal in financial risk management. LÄS MER

  3. 2. The effect of autocorrelation when performing theapproximated permutation test

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Amerik Schouten; Linus Thor; [2023]
    Nyckelord :exchangeability assumption; Monte Carlo; temporal autocorrelation; type I error; simulation; re-sampling methods;

    Sammanfattning : In meteorology, permutation tests are a commonly recommended tool because standard paramet-ric methods of inference often is insufficient when analysing weather. Therefore other methodswith less stringent assumptions like permutation testing is used. LÄS MER

  4. 3. Predicting Cryptocurrency Prices with Machine Learning Algorithms: A Comparative Analysis

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Harsha Nanda Gudavalli; Khetan Venkata Ratnam Kancherla; [2023]
    Nyckelord :Bitcoin; Cryptocurrency; Machine Learning;

    Sammanfattning : Background: Due to its decentralized nature and opportunity for substantial gains, cryptocurrency has become a popular investment opportunity. However, the highly unpredictable and volatile nature of the cryptocurrency market poses a challenge for investors looking to predict price movements and make profitable investments. LÄS MER

  5. 4. Analys av medianproblemetinom grafteori

    Kandidat-uppsats, Örebro universitet/Institutionen för naturvetenskap och teknik

    Författare :Linnéa Östlund; [2023]
    Nyckelord :;

    Sammanfattning : Medianproblemet innebär att, givet ett avståndsmått, hitta en permutationmed minsta totalavstånd till en mängd permutationer. Tidigare har fleraolika avståndsmått studerats och visat sig variera kraftigt i användbarhet. LÄS MER

  7. 5. On Linear Mode Connectivity up to Permutation of Hidden Neurons in Neural Network : When does Weight Averaging work?

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

    Författare :Adhithyan Kalaivanan; [2023]
    Nyckelord :Mode Connectivity; Representation Learning; Loss Landscape; Network Symmetry; Lägesanslutning; representationsinlärning; förlustlandskap; nätverkssymmetri;

    Sammanfattning : Neural networks trained using gradient-based optimization methods exhibit a surprising phenomenon known as mode connectivity, where two independently trained network weights are not isolated low loss minima in the parameter space. Instead, they can be connected by simple curves along which the loss remains low. LÄS MER