Sökning: "fashion algorithms"

Visar resultat 1 - 5 av 27 uppsatser innehållade orden fashion algorithms.

  1. 1. Upphovsrättsligt intrång vid automatiserad datorstödd analys av information - Om användningen av data vid text- och datautvinning innebär ett upphovsrättsligt intrång

    Kandidat-uppsats, Lunds universitet/Institutionen för handelsrätt

    Författare :Linn Månsson; [2020]
    Nyckelord :Immaterialrätt; upphovsrätt; ensamrätt; exemplarframställning; Copyright; Text- och datautvinning; Text och data mining; DSM-direktivet; KDD; tillfällig exemplarframställning; mode algoritmer; myndighetsbeslut; Government decisions; fashion algorithms; Infosoc-direktivet; Intellectual property; IP; Artificiell intelligens; AI; intrång; EU-rätt; EU-law; DSM-directive; Law and Political Science;

    Sammanfattning : The essay studies the problem between text and data mining (TDM) and copyrighted works. Through technological development, TDM is used, among other things, to make automated decisions in the authorities and in the fashion industry as tools that find similarities between different garments. LÄS MER

  2. 2. A Reward-based Algorithm for Hyperparameter Optimization of Neural Networks

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Olov Larsson; [2020]
    Nyckelord :Convolutional Neural Networks; Reinforcement Learning; Hyperparameter Optimization; Faltande Neurala Nätverk; Förstärkningsinlärning; Hyperparameteroptimering;

    Sammanfattning : Machine learning and its wide range of applications is becoming increasingly prevalent in both academia and industry. This thesis will focus on the two machine learning methods convolutional neural networks and reinforcement learning. LÄS MER

  3. 3. ASSESSMENT OF ROSLYN ANALYZERS FOR VISUAL STUDIO

    Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Jürgen Sundström; [2019]
    Nyckelord :;

    Sammanfattning : So‰ware security is an ever growing subject that is gett‹ing more important as we implement more soft‰ware into our daily lives. We want to protect our personal information and keep our privacy intact. LÄS MER

  4. 4. New Methodologies for Fashion Recommender Systems

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

    Författare :Gabriele Prato; [2019]
    Nyckelord :;

    Sammanfattning : Traditional Recommender Systems rely on finding similarities between users and/or between items. In its broadest definition, a Recommender System tries to predict the preference a user would give to an item. LÄS MER

  5. 5. Using Machine Learning to Detect Customer Acquisition Opportunities and Evaluating the Required Organizational Prerequisites

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

    Författare :Olle Malmberg; Bobby Zhou; [2019]
    Nyckelord :Consumer decision journey; Customer acquisition Customer relationship management; Machine Learning; Organizational prerequisites; User activity; Random forest; XGBoost; Användaraktivitet; Consumer decision journey; Customer relationship management; Kundförvärv; Maskininlärning; Organisatoriska förutsättningar; Random forest; XGBoost;

    Sammanfattning : This paper aims to investigate whether or not it is possible to identify users who are about change provider of service with machine learning. It is believed that the Consumer Decision Journey is a better model than traditional funnel models when it comes to depicting the processes which consumers go through, leading up to a purchase. LÄS MER