Sökning: "Machine learning methods"

Visar resultat 1 - 5 av 1247 uppsatser innehållade orden Machine learning methods.

  1. 1. Making Use of the Factor Zoo: An unpretentious attempt to predict asset returns using machine learning methods.

    Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Författare :Line Clausen; Jesper Strömberg; [2022-02-15]
    Nyckelord :;

    Sammanfattning : Factor modeling with the purpose of estimating assets returns is a dynamic and ever changing subject within finance. Recent literature has presented over 300 different fac-tors that seem to have significance in predicting asset returns. This new phenomenon in factor modeling has been dubbed ”The Factor Zoo”. LÄS MER

  2. 2. Prosody and emotion: Towards the development of an emotional agent Emotional evaluation of news reports: production and perception experiments

    Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Författare :Liina Tumma; [2022-01-20]
    Nyckelord :emotion; speech; prosody;

    Sammanfattning : There is a recognised need for more research on the topic of emotion recognition from speech, and clear and defined methodology in this area is still lacking. Most studies in the field of emotional speech recognition and classification usually focus on acted speech as the data source; consequently, other methods that capture more natural speech are left aside. LÄS MER

  3. 3. Estimation of Height, Weight, Sex and Age from Magnetic Resonance Images using 3D Convolutional Neural Networks

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Carl Nimhed; [2022]
    Nyckelord :mr; magnetic resonance; machine learning; deep learning;

    Sammanfattning : Magnetic resonance imagining is a non-invasive 3D imaging technology widely used in the medical field for partial and full body scans. AMRA Medical AB is a medical company which combines MRI images with additional patient attributes such as height, weight, sex and age to perform analysis such as body composition profiling. LÄS MER

  4. 4. Generation of Control Logic from Ordinary Speech

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Hamed Haghjo; Elias Vahlberg; [2022]
    Nyckelord :Code generation; generation of code; generation of control logic; natural language processing;

    Sammanfattning : Developments in automatic code generation are evolving remarkably fast, with companies and researchers competing to reach human-level accuracy and capability. Advancements in this field primarily focus on using machine learning models for end-to-end code generation. LÄS MER

  5. 5. Modeling and Interpreting CTG Curves from Labor Using Machine Learning and Pattern Recognition

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Sandra Kandefelt; Sara Perklev; [2022]
    Nyckelord :machine learning; CTG; pattern recognition; labor; TOCO; FHR; Mathematics and Statistics;

    Sammanfattning : The main monitoring method during labor is cardiotocography, CTG, which measures the fetal heartbeat, FHR, as well as the uterine contractions, TOCO. The CTG is a valuable tool in assessing the fetal status and it is evaluated intermittently by clinicians during the progress of the labor. LÄS MER