Sökning: "permutation"
Visar resultat 1 - 5 av 60 uppsatser innehållade ordet permutation.
1. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : 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
2. The effect of autocorrelation when performing theapproximated permutation test
Kandidat-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : 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
3. Predicting Cryptocurrency Prices with Machine Learning Algorithms: A Comparative Analysis
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : 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
4. Analys av medianproblemetinom grafteori
Kandidat-uppsats, Örebro universitet/Institutionen för naturvetenskap och teknikSammanfattning : 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
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)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