Sökning: "data preprocessing"

Visar resultat 1 - 5 av 106 uppsatser innehållade orden data preprocessing.

  1. 1. Machine Learning Based Intraday Calibration of End of Day Implied Volatility Surfaces

    Master-uppsats, KTH/Matematisk statistik; KTH/Matematisk statistik

    Författare :Christopher Herron; André Zachrisson; [2020]
    Nyckelord :Applied Mathematics; Machine Learning; Statistics; Gaussian Process; Neural Network; Options; Volatility; Implied Volatility Surface; Black Scholes; Tillämpad matematik; Maskininlärning; Statistik; Gaussisk Process; Neurala Nätverk; Optioner; Volatilitet; Implicit Volatilitetsyta; Black Scholes;

    Sammanfattning : The implied volatility surface plays an important role for Front office and Risk Management functions at Nasdaq and other financial institutions which require mark-to-market of derivative books intraday in order to properly value their instruments and measure risk in trading activities. Based on the aforementioned business needs, being able to calibrate an end of day implied volatility surface based on new market information is a sought after trait. LÄS MER

  2. 2. Preprocessing method comparison and model tuning for natural language data

    Master-uppsats, Högskolan Dalarna/Mikrodataanalys

    Författare :Peter Tempfli; [2020]
    Nyckelord :Natural language processing; sentiment analysis; machine learning;

    Sammanfattning : Twitter and other microblogging services are a valuable source for almost real-time marketing, public opinion and brand-related consumer information mining. As such, collection and analysis of user-generated natural language content is in the focus of research regarding automated sentiment analysis. LÄS MER

  3. 3. FPGA acceleration of superpixel segmentation

    Uppsats för yrkesexamina på avancerad nivå, Mälardalens högskola/Inbyggda system

    Författare :Magnus Östgren; [2020]
    Nyckelord :;

    Sammanfattning : Superpixel segmentation is a preprocessing step for computer vision applications, where an image is split into segments referred to as superpixels. Then running the main algorithm on these superpixels reduces the number of data points processed in comparison to running the algorithm on pixels directly, while still keeping much of the same information. LÄS MER

  4. 4. Forecasting Components Failure Using Ant Colony Optimization For Predictive Maintenance

    Magister-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi; Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Durlabh Shahi; Ankit Gupta; [2020]
    Nyckelord :ACO; predictive Maintenance; fault detection;

    Sammanfattning : Failures are the eminent aspect of any machine and so is true for vehicle as it is one of the sophisticated machines of today’s time. Early detection of faults and prioritized maintenance is a necessity of vehicle manufactures as it enables them to reduce maintenance cost and increase customer satisfaction. LÄS MER

  5. 5. Machine Learning Techniques To Analyze Operator’s Behavior

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sai Srivatsava Manchala; [2020]
    Nyckelord :Machine learning; Supervised learning; Neural networks; Airline disruptions; Schedule recovery;

    Sammanfattning : Background: With savvier management teams, airlines are becoming more stable, more productive, and more profitable. The problems plaguing the aviation industry, however, have not gone away and have become more complicated instead. Schedule recovery is the process of recovery from these issues (also known as operating disturbances). LÄS MER