Sökning: "empirical evaluation"

Visar resultat 1 - 5 av 897 uppsatser innehållade orden empirical evaluation.

  1. 1. Multicriteria Evaluation in Real Estate Land-use Suitability Analysis: The case of Volos, Greece

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Panagiotis Dimitrios Tsachageas; [2024]
    Nyckelord :Geography; GIS; Real Estate; Multicriteria Evaluation; Fuzzy; AHP; Earth and Environmental Sciences;

    Sammanfattning : The integration of Geographic Information Systems (GIS) into real estate analysis has long been considered an interesting interdisciplinary pursuit, but has yet to become mainstream. Despite the increasing academic focus over the last twenty years, this endeavour has mostly been approached from the scientific side of Geography. LÄS MER

  3. 2. User-Centered Design in Digital Twins : Insights Based on Industrial Designers’ Activities

    Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Velina Parapanova; [2024]
    Nyckelord :digital twin; user-centered design; activity theory; industrial design; scenarios;

    Sammanfattning : Digital twin is an emerging technology that enhances digital transformation across many industries and domains. Most digital twins are made for a work context, and end users are the domain experts who carry knowledge in the work processes and products of which digital twin is part. LÄS MER

  4. 3. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

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

    Författare :Alexander Florean; [2024]
    Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER

  5. 4. Socialsekreterares skilda skyddsbedömningar : Hur stödet vid mäns våld mot kvinnor kan skilja sig åt

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för socialt arbete (SA)

    Författare :Tove Karlsson; Bertilsson Emilia; [2024]
    Nyckelord :domestic violence; social services; IPV; risk assessment; social work practice; specialization; standardisation; professionalism och manual based work.;

    Sammanfattning : Men's violence against women is an ever-increasing societal issue. The social services bear the responsibility of supporting and protecting women who are victims of violence seeking help. This responsibility has been delegated to social workers based on municipal autonomy. LÄS MER

  7. 5. An Empirical Survey of Bandits in an Industrial Recommender System Setting

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

    Författare :Tobias Schwarz; Johan Brandby; [2023-09-21]
    Nyckelord :computer science; industrial application; machine learning; reinforcement learning; multi-armed bandits; MAB; contextual multi-armed bandits; survey; batch learning;

    Sammanfattning : In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content suggestion. The idea is to employ image features, extracted by a pre-trained convolutional neural network, and study the resulting bandit behaviors when including respective excluding this information in the typical context creation, which normally relies on structured data sources—such as metadata. LÄS MER