Sökning: "Unsupervised learning"

Visar resultat 36 - 40 av 361 uppsatser innehållade orden Unsupervised learning.

  1. 36. Unsupervised Anomaly Detection in Testchannels : A Comparison Between Machine Learning Techniques

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Felicia Guez; Johanna Högström; [2023]
    Nyckelord :;

    Sammanfattning : Due to the increasing number of mobile applications and services, communication service providers strive to optimize their networks in order to maintain a competitive position. Continuous Integration, which includes improving software delivery through automation, is fundamental in the process of testing and optimizing networks. LÄS MER

  3. 37. Counterfeit product grouping - a cluster ensemble approach

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Jency Raj; Ramu Satheesh; [2023]
    Nyckelord :Machine Learning; Deeplearning; Image analysis; Data science;

    Sammanfattning : he need for the development and use of efficient and reliable Anticounterfeit techniques in the manufacturing industry and online trading has recently increased tremendously. Flooding counterfeit products in the international market have several adverse social and economic impacts globally. LÄS MER

  4. 38. Human Rights Violations and Machine Learning - Cluster Analysis of Countries using the CIRIGHTS Dataset

    Magister-uppsats, Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

    Författare :Emilie Ståhle; Emilie Haubrich; [2023]
    Nyckelord :Human Rights Violation; Clustering; K-Means; Latent Class Analysis; Transition Matrix; Business and Economics;

    Sammanfattning : This master's thesis explores the use of unsupervised machine learning techniques to cluster countries based on their degree of human rights violations. Accordingly, the study evaluates the performance of two clustering methods, K-Means clustering and Latent Class Analysis (LCA), using two cluster validation metrics (Silhouette Coefficient and Dunn Index), as well as an Accuracy measure using the Human Rights index. LÄS MER

  5. 39. Solving Partial Differential Equations With Neural Networks

    Master-uppsats, Uppsala universitet/Matematiska institutionen

    Författare :Håkan Karlsson Faronius; [2023]
    Nyckelord :Partial differential equations; neural networks; physics-informed neural networks; deep ritz method; fourier neural operator; importance sampling; inverse problems;

    Sammanfattning : In this thesis three different approaches for solving partial differential equa-tions with neural networks will be explored; namely Physics-Informed NeuralNetworks, Fourier Neural Operators and the Deep Ritz method. Physics-Informed Neural Networks and the Deep Ritz Method are unsupervised machine learning methods, while the Fourier Neural Operator is a supervised method. LÄS MER

  7. 40. Unsupervised Domain Adaptation for Regressive Annotation : Using Domain-Adversarial Training on Eye Image Data for Pupil Detection

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

    Författare :Erik Zetterström; [2023]
    Nyckelord :Neural networks; Deep learning; Convolutional neural networks; Transfer learning; Domain adaptation; Unsupervised training; Adversarial training; Keypoint detection; Regression; Neurala nätverk; Djupinlärning; Faltningsnätverk; Överförningsinlärning; Domänadaptering; Oövervakad inlärning; Motstående träning; Nyckelpunktsdetektion; Regression;

    Sammanfattning : Machine learning has seen a rapid progress the last couple of decades, with more and more powerful neural network models continuously being presented. These neural networks require large amounts of data to train them. LÄS MER