Sökning: "unsupervised learning"

Visar resultat 1 - 5 av 157 uppsatser innehållade orden unsupervised learning.

  1. 1. Tidying up the factor zoo: Using machine learning to find sparse factor models that predict asset returns.

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

    Författare :Oliver Klingberg Malmer; Gustav Pettersson; [2020-07-01]
    Nyckelord :Asset pricing; Factor models; Machine learning; PCA; LASSO; Variable selection; Dimension reduction; Fama French Three Factor model; Fama French Five Factor model;

    Sammanfattning : There exist over 300 firm characteristics that provide significant information about average asset return. John Cochrane refers to this as a “factor zoo” and challenges researchers to find the independent characteristics which can explain average return. LÄS MER

  2. 2. Data Driven Anomaly Control Detection for Railway Propulsion Control Systems

    Magister-uppsats, Mälardalens högskola/Inbyggda system; Mälardalens högskola/Inbyggda system

    Författare :Dzenita Skulj; Ajna Hodzic; [2020]
    Nyckelord :;

    Sammanfattning : The popularity of railway transportation has been on the rise over the past decades, as it has been able to provide safe, reliable, and highly available service. The main challenge within this domain is to reduce the costs of preventive maintenance and improve operational efficiency. LÄS MER

  3. 3. Data mining techniques for modeling the operating behaviors of smart building control valve systems

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Amirmohammad Eghbalian; [2020]
    Nyckelord :Machine learning; Data mining; Outlier detection; Time-series; HVAC R;

    Sammanfattning : Background. One of the challenges about smart control valves system is processing and analyzing sensors data to extract useful information. These types of information can be used to detect the deviating behaviors which can be an indication of faults and issues in the system. LÄS MER

  4. 4. LjudMAP: A Visualization Tool for Exploring Audio Collections with Real-Time Concatenative Synthesis Capabilities

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

    Författare :Victor Hansjons Vegeborn; [2020]
    Nyckelord :;

    Sammanfattning : This thesis presents the software tool “LjudMAP," which fuses techniques of music informatics and unsupervised machine learning methods to assist in the exploration of audio collections. LjudMAP builds on concepts of the software tool, "Temporally Disassembled Audio," which was developed to enable fast browsing of recorded speech material. LÄS MER

  5. 5. Evaluation of text classification techniques for log file classification

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Per Olin; [2020]
    Nyckelord :Text classification; machine learning; NLP; natural language processing; log file; doc2vec; CNN; LSTM; LSTM-CNN;

    Sammanfattning : System log files are filled with logged events, status codes, and other messages. By analyzing the log files, the systems current state can be determined, and find out if something during its execution went wrong. LÄS MER