Essays about: "beslutsträd"

Showing result 16 - 20 of 52 essays containing the word beslutsträd.

  1. 16. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data

    University essay from KTH/Matematisk statistik

    Author : Billy Lu; [2022]
    Keywords : Probability of Default; Credit Risk; Short-term Default Prediction; Machine Learning; Gradient Boosting; Thresholding; Sannolikheten för Fallissemang; Kreditrisk; Kortsiktig Fallissemang Prediktion; Maskininlärning; Gradientförstärkning; Tröskling;

    Abstract : Probability of Default (PD) is a standard metric to model and monitor credit risk, a major risk facing financial institutions. Traditional PD models are used to forecast risk levels in the long-term, while short-term PD predictions are rarer, but they can support management decisions on an operational level. READ MORE

  3. 17. Towards Understanding slag build-up in a Grate-Kiln furnace : A study of what parameters in the Grate-Kiln furnace leads to increased slag build-up, in a modern pellet production kiln

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Oscar Olsson; Uno Österman; [2022]
    Keywords : Grate-kiln; Slag; Interpretable machine learning; IID; independent and identically distributed; Kulsinter; pellets; slagg; slag; LKAB;

    Abstract : As more data is being gathered in industrial production facilities, the interest in applying machine learning models to the data is growing. This includes the iron ore mining industry, and in particular the build-up of slag in grate-kiln furnaces. READ MORE

  4. 18. Explainable Deep Learning Methods for Market Surveillance

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

    Author : Marcus Jonsson Ewerbring; [2021]
    Keywords : Deep Learning; Machine Learning; Explainable Deep Learning; XAI; Market Surveillance; Djupinlärning; Maskininlärning; Förklarbar Djupinlärning; XAI; Marknadsövervakning;

    Abstract : Deep learning methods have the ability to accurately predict and interpret what data represents. However, the decision making of a deep learning model is not comprehensible for humans. This is a problem for sectors like market surveillance which needs clarity in the decision making of the used algorithms. READ MORE

  5. 19. Geolocating Alfa Laval's products using supervised machine learning

    University essay from Lunds universitet/Institutionen för datavetenskap

    Author : Isac Jeppsson; Oskar Borna; [2021]
    Keywords : k-nearest neighbors; artificial neural network; random forests; LightGBM; geolocation; Technology and Engineering;

    Abstract : A lot of companies have data that can be used to develop a more successful business. To become more data-driven, it is important to extract valuable information from the raw data. One of the largest challenges for companies, while trying to make this transition, is to ensure a data quality at a high level. READ MORE

  6. 20. AI-Powered Network Traffic Prediction

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

    Author : Amin Bolakhrif; [2021]
    Keywords : Deep Learning; IP Address; Machine Learning; Network Traffic Flows; Neural Networks; Predictive Model; Regression.; Djupinlärning; IP Address; Maskininlärning; Nätverkstrafikflöden; Neurala Nätverk; Prediktionsmodell; Regression.;

    Abstract : In this Internet and big data era, resource management has become a crucial task to ensure the quality of service for users in modern wireless networks. Accurate and rapid Internet traffic data is essential for many applications in computer networking to enable high networking performance. READ MORE