Sökning: "machine learning algorithms"

Visar resultat 1 - 5 av 688 uppsatser innehållade orden machine learning algorithms.

  1. 1. Modelling rare events using non-parametric machine learning classiers - Under what circumstances are support vector machines preferable to conventional parametric classiers?

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

    Författare :Lukas Ma; [2021-04-06]
    Nyckelord :;

    Sammanfattning : Rare event modelling is an important topic in quantitative social science research. However, despite the fact that traditional classiers based upon general linear models (GLM) might lead to biased results, little attention in the social science community is devoted to methodological studies aimed at alleviating such bias, even fewer of them have considered the use of machine learning methods to tackle analytical problems imposed by rare events. LÄS MER

  2. 2. Application of Machine Learning Algorithms for Post Processing of Reference Sensors

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :VASILIKI LAMPROUSI; [2021-04-01]
    Nyckelord :Object detection; machine learning; camera; sensors; semi-supervised learning;

    Sammanfattning : The Autonomous Drive (AD) systems and Advanced Driver Assistance Systems(ADAS) in the current and future generations of vehicles include a large numberof sensors which are used to perceive the vehicle’s surroundings. The productionsensors of these vehicles are verified and validated against reference data that areoriginated from high-accurate reference sensors that are placed in a reference roofbox at the top of the vehicle. LÄS MER

  3. 3. Classification of role stereotypes for classes in UML class diagrams using machine learning

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Jobaer Ahmed; Maoyi Huang; [2021-03-03]
    Nyckelord :role-stereotypes; machine learning algorithm; classification; data analysis; data mining; UML class diagram; software design; software engineering;

    Sammanfattning : Software development process is becoming inherently complex in recent decades.To reduce the complexity in the development process developers, software practitioners are constantly looking for newer approach. One approach can be understanding the software design for instance, the UML models earlier in the softwaredevelopment process. LÄS MER

  4. 4. Anomaly detection in 5G beam propagation

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Katarina Hellgren; Phiphi Tran; [2021]
    Nyckelord :Machine learning; wireless communication; 5G; beam propagation; DBSCAN; KNN; anomaly detection; clustering; Technology and Engineering;

    Sammanfattning : Advancements in today's technology has motivated invention of faster mobile communication systems. The fifth generation mobile network, 5G, is the latest version made by the third generation partnership project (3GPP) and expects to both increase connection speed and reduce latency, which eventually will make it applicable in supporting state-of-the art technologies such as virtual reality and self-driving vehicles among others. LÄS MER

  5. 5. Anomaly Detection in Log Files Using Machine Learning Techniques

    Magister-uppsats, Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Författare :Lakshmi Geethanjali Mandagondi; [2021]
    Nyckelord :Anomaly Detection; Log Files; Machine Learning; Clustering; Outlier Detection;

    Sammanfattning : Context: Log files are produced in most larger computer systems today which contain highly valuable information about the behavior of the system and thus they are consulted fairly often in order to analyze behavioral aspects of the system. Because of the very high number of log entries produced in some systems, it is however extremely difficult to seek out relevant information in these files. LÄS MER