Sökning: "G score"

Visar resultat 21 - 25 av 89 uppsatser innehållade orden G score.

  1. 21. Named Entity Recognition on Transaction Descriptions

    Master-uppsats, Lunds universitet/Institutionen för datavetenskap

    Författare :Nik Johansson; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : With the surge of open banking, there is a large increase in applications based on transaction data. Therefore, there is a need for being able to extract important information from Swedish transaction descriptions in a structured way. LÄS MER

  3. 22. Parameter Update Schemes for Hidden Markov Models applied to Financial Returns

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Sigfrid Forsberg; [2022]
    Nyckelord :Markov Chain; Finance; Hidden Markov Model; Generalized Autoregressive Score Model; S P-500; Nikkei; Adaptive Model; Volatility; Regime-switching Model; Line-Search Algorithm; Predictor-Corrector; Quasi-Newton; Mathematics and Statistics;

    Sammanfattning : This thesis was dedicated to investigating the use of different parameter update schemes for Hidden Markov models with time-varying parameters, with an emphasis on developing alternatives to the quasi-Newton step. The focus was on applications to financial returns, using data from the S\&P-500 and the Nikkei index, and for comparison, a trial using synthetic data was also performed. LÄS MER

  4. 23. Imbalanced Predictions

    Magister-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Stella Säfström; [2022]
    Nyckelord :Imbalanced data; cost-sensitive learning; SMOTE; random undersampling; Mathematics and Statistics;

    Sammanfattning : The aim of the thesis is to evaluate solutions to the class imbalance problem using real world data sets with varying degrees of class imbalance. The analysis is limited to binary classification. Three large data sets relating to credit card fraud, vehicle insurance and heart disease are used for the analysis. LÄS MER

  5. 24. Analyzing the Negative Log-Likelihood Loss in Generative Modeling

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

    Författare :Aleix Espuña I Fontcuberta; [2022]
    Nyckelord :Generative modeling; Normalizing flows; Generative Adversarial Networks; MaximumLikelihood Estimation; Real Non-Volume Preserving flow; Fréchet Inception Distance; Misspecification; Generativa metoder; Normalizing flows; Generative adversarial networks; Maximum likelihood-metoden; Real non-volume preserving flow; Fréchet inception distance; felspecificerade modeller;

    Sammanfattning : Maximum-Likelihood Estimation (MLE) is a classic model-fitting method from probability theory. However, it has been argued repeatedly that MLE is inappropriate for synthesis applications, since its priorities are at odds with important principles of human perception, and that, e.g. LÄS MER

  7. 25. Grisars omedelbara beteende vid doftberikning

    Kandidat-uppsats, SLU/Department of Biosystems and Technology (from 130101)

    Författare :Rebecca Grut; [2022]
    Nyckelord :gris; doft; berikning; välfärd; beteende; tail flicking; stereotypier;

    Sammanfattning : It is common knowledge that pigs are used to search for truffles and that their sense of smell is well developed. Still, there is not much research about pigs’ sense of smell and therefore the aim of this study is to describe which behaviours the pigs perform immediately when exposed to scent enrichment. LÄS MER