Sökning: "Decision Usefulness"

Visar resultat 11 - 15 av 125 uppsatser innehållade orden Decision Usefulness.

  1. 11. A Hybrid Approach to Hate Speech Detection

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Simon Rickardsson; [2023]
    Nyckelord :;

    Sammanfattning : An interesting question is to what extent can background knowledge help in the context of text classification. To address this in more detail, can a traditional rulebased classifier help boost the accuracy of learned models? We explore this here for detecting hate speech and offensive language in online text. LÄS MER

  3. 12. Shoppin’ in the Rain : An Evaluation of the Usefulness of Weather-Based Features for an ML Ranking Model in the Setting of Children’s Clothing Online Retailing

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

    Författare :Isac Lorentz; [2023]
    Nyckelord :Statistical analysis; regression analysis; recommender systems; ensemble learning; electronic commerce; LightGBM; learning to rank; feature selection; weather-based features; fashion; Statistisk analys; regressionsanalys; rekommendationssystem; ensemble-inlärning; näthandel; LightGBM; learning to rank; variabelselektion; väderbaserade variabler; mode;

    Sammanfattning : Online shopping offers numerous benefits, but large product catalogs make it difficult for shoppers to understand the existence and characteristics of every item for sale. To simplify the decision-making process, online retailers use ranking models to recommend products relevant to each individual user. LÄS MER

  4. 13. Valuation in the energy storage sector - an investor perspective

    Master-uppsats, Umeå universitet/Företagsekonomi

    Författare :Oliver Vasanoja; Alessandro Volpe; [2023]
    Nyckelord :Energy storage; project finance; sustainable finance; investor rationality; financial valuation; levelized cost of storage; net present value; internal rate of return; payback period; technological maturity;

    Sammanfattning : This study will examine a strategy for evaluating energy storage projects by integrating valuation metrics from finance and the energy sector. Uncertainty is one of the key barriers to investment in the energy sector (Shimbar & Ebrahimi, 2017, p. LÄS MER

  5. 14. Conform with the Wind : Processing short-term ensemble forecasts with conformal based methods for probabilistic wind-speed forecasting

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Simon Althoff; [2023]
    Nyckelord :wind-speed; probabilistic; forecasts; forecasting; ensemble; post-processing; conformal prediction; conformal predictive systems; quantile regression forest; non-exchangeable; Mathematics and Statistics;

    Sammanfattning : Forecasting wind has always been an interesting subject, and as large parts of the world are relying more on wind for power production it is becoming even more important to have reliable forecasts. Probabilistic forecasts, where distributions are predicted in contrast to deterministic forecasts, are impor- tant for informed decision making. LÄS MER

  7. 15. Prediction of Stock Returns Using Accounting Data with a Machine Learning Approach

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Ludvig Ekmark; Tobias Frisell; [2022-06-30]
    Nyckelord :Stock price prediction; Accounting data; Machine learning; Gradient boosting decision trees; CatBoost classifier; Logistic regression; Feature importance;

    Sammanfattning : The relationship between accounting data and stock price prediction has been a hot topic for over half a century. Researchers have been trying to identify the relationship and investigate how it may be useful when trying to improve prediction accuracy. LÄS MER