Sökning: "algorithm comparison"

Visar resultat 1 - 5 av 677 uppsatser innehållade orden algorithm comparison.

  1. 1. Klusteranalys : Tillämpning av agglomerativ hierarkisk och k-means klustring för att hitta bra kluster bland fotbollsspelare baserat på spelarstatistik.

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Sacko Balbas; Arvid Törnquist; [2024]
    Nyckelord :Cluster analysis; hierarchical clustering; k-means clustering; La Liga; football; algorithm; machine learning.;

    Sammanfattning : This work is about how the multivariate analysis tool cluster analysis can be appliedto find meaningfull groups of players based on player statistics. The aim of the work isan attempt to find good clusters among players within the Spanish top football divisionLa Liga for the 2022-2023 season. LÄS MER

  3. 2. Comparison of VADER and Pre-Trained RoBERTa: A Sentiment Analysis Application

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Linda Erwe; Xin Wang; [2024]
    Nyckelord :sentiment analysis; natural language processing; BERT; VADER; sustainability report; Mathematics and Statistics;

    Sammanfattning : Purpose: The purpose of this study is to examine how the overall sentiment results from VADER and a pre-trained RoBERTa model differ. The study investigates potential differences in terms of the median and shape of the two distributions. Data: The sustainability reports of 50 independent random companies are selected as the sample. LÄS MER

  4. 3. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marisa Wodrich; [2024]
    Nyckelord :Uncertainty quantification; Deep learning; Breast cancer classification; Trustworthy AI; Point-of-care ultrasound; Mathematics and Statistics;

    Sammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER

  5. 4. Object Recognition in Satellite imagesusing improved ConvolutionalRecurrent Neural Network

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :TARUN NATTALA; [2023]
    Nyckelord :CRNN; CNN; RNN; Machine Learning and Satellite Image Recognition.;

    Sammanfattning : Background:The background of this research lies in detecting the images from satellites. The recognition of images from satellites has become increasingly importantdue to the vast amount of data that can be obtained from satellites. This thesisaims to develop a method for the recognition of images from satellites using machinelearning techniques. LÄS MER

  7. 5. Comparison of Hebbian Learning and Backpropagation for Image Classification in Convolutional Neural Networks

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

    Författare :Teodor Morfeldt Gadler; [2023]
    Nyckelord :;

    Sammanfattning : Current commonly used image recognition convolutional neural networks share some similarities with the human brain. However, the differences are many and the well established backpropagation learning algorithm is not biologically plausible. LÄS MER