Sökning: "distance learning"

Visar resultat 31 - 35 av 559 uppsatser innehållade orden distance learning.

  1. 31. Improving Change Point Detection Using Self-Supervised VAEs : A Study on Distance Metrics and Hyperparameters in Time Series Analysis

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

    Författare :Daniel Workinn; [2023]
    Nyckelord :Change point detection; Time series data; Segmentation; Machine learning; Data mining; Detektion av brytpunkter; Tidsseriedata; Segmentering; Maskininlärning; Datautvinning;

    Sammanfattning : This thesis addresses the optimization of the Variational Autoencoder-based Change Point Detection (VAE-CP) approach in time series analysis, a vital component in data-driven decision making. We evaluate the impact of various distance metrics and hyperparameters on the model’s performance using a systematic exploration and robustness testing on diverse real-world datasets. LÄS MER

  3. 32. Pandemins påverkan på psykosociala och sociala aspekter av psykisk hälsa hos studenter på Karlstads universitet. : En studie om Pandemins påverkan på psykosociala och sociala aspekter av psykisk hälsa hos studenter på Karlstads universitet.

    L2-uppsats, Karlstads universitet/Institutionen för geografi, medier och kommunikation (from 2013)

    Författare :Dunya Elia; [2023]
    Nyckelord :University students; Covid-19 pandemic; Mental health and everyday life; Self-directed learning; Karlstad University.; universitetsstudenter; Covid 19- pandemin; Psykisk hälsa och vardagliga liv; eget lärande; Karlstads universitet;

    Sammanfattning : During the Covid-19 pandemic, the well-being of university students has become an important issue to investigate and understand. The pandemic has had a significant impact on students' lives and study experiences. LÄS MER

  4. 33. Toward an application of machine learning for predicting foreign trade in services – a pilot study for Statistics Sweden

    Master-uppsats, Stockholms universitet/Statistiska institutionen

    Författare :Tea Unnebäck; [2023]
    Nyckelord :foreign trade in services; sampling; sampling frame; statistics; machine learning; random forest; predicting; extreme gradient boosting; k nearest neighbors; k-nn; official statistics; statistics sweden;

    Sammanfattning : The objective of this thesis is to investigate the possibility of using machine learn- ing at Statistics Sweden within the Foreign Trade in Services (FTS) statistic, to predict the likelihood of a unit to conduct foreign trade in services. The FTS survey is a sample survey, for which there is no natural frame to sample from. LÄS MER

  5. 34. RNN-based Graph Neural Network for Credit Load Application leveraging Rejected Customer Cases

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Oskar Nilsson; Benjamin Lilje; [2023]
    Nyckelord :Machine Learning; Deep Learning; Reject Inference; GNN; GCN; Graph Neural Networks; RNN; Recursive Neural Network; LSTM; Semi-Supervised Learning; Encoding; Decoding; Feature Elimination;

    Sammanfattning : Machine learning plays a vital role in preventing financial losses within the banking industry, and still, a lot of state of the art and industry-standard approaches within the field neglect rejected customer information and the potential information that they hold to detect similar risk behavior.This thesis explores the possibility of including this information during training and utilizing transactional history through an LSTM to improve the detection of defaults. LÄS MER

  7. 35. Development of a Novel Heterogeneous Distance Measure with Enhanced Treatment of Ordinal Features

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Elina Zake; Salam Hilmi; [2023]
    Nyckelord :;

    Sammanfattning : The rapid generation of data from various sources has led to the emergence of Big Data, characterized by heterogeneity in terms of different types of variables. Machine learning approaches have been utilized to deal with this data, but there is a lack of uniformity in the application of distance measures for this type of data. LÄS MER