Sökning: "Shapley value"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Shapley value.

  1. 1. Counterfactual and Causal Analysis for AI-based Modulation and Coding Scheme Selection

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

    Författare :Kun Hao; [2023]
    Nyckelord :Explainable Artificial Intelligence; Counterfactual; Causal Analysis; Shapley Additive Explanations; Modulation and Coding Scheme; Förklarlig artificiell intelligens; kontrafaktisk analys; orsaksanalys; Shapley tillsatsförklaringar; modulerings och kodningsschema;

    Sammanfattning : Artificial Intelligence (AI) has emerged as a transformative force in wireless communications, driving innovation to address the complex challenges faced by communication systems. In this context, the optimization of limited radio resources plays a crucial role, and one important aspect is the Modulation and Coding Scheme (MCS) selection. LÄS MER

  3. 2. Evaluating Marketing Initiatives using Explainable Machine Learning : An Alternative to Attribution Models

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

    Författare :João Ferreira; [2023]
    Nyckelord :Explainable Machine Learning; Attribution models; Marketing Automation; Search Engine Optimization; A B testing; Definierad maskininlärning; Attributionsmodeller; Automatisering av marknadsföring; Optimering av sökmotor; A B-tester;

    Sammanfattning : Since its inception, Marketing has always needed more clearly defined incrementality, i.e., a measurement of advertisement effectiveness. Nowadays, Marketing is an evergrowing business; within it, Digital Marketing is taking the spotlight. LÄS MER

  4. 3. A Systematic Study of Semi-Supervised Learning Based on Shapley Value Data Valuation

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Christie Courtnage; [2022]
    Nyckelord :;

    Sammanfattning : Semi-supervised learning algorithms seek to train prediction models on both labelled and unlabelled that outperform prediction models trained only on labelled data. Semi-supervised learning is often realised through the selection of unlabelled instances with predicted pseudo-labels. LÄS MER

  5. 4. Road-traffic accident prediction model : Predicting the Number of Casualties

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Jemal Ahmed Andeta; [2021]
    Nyckelord :Road traffic accident; Accident Casualties; Gradient Boosting; Extreme Learning Machines; Prediction Interval;

    Sammanfattning : Efficient and effective road traffic prediction and management techniques are crucial in intelligent transportation systems. It can positively influence road advancement, safety enhancement, regulation formulation, and route planning to save living things in advance from road traffic accidents. LÄS MER

  7. 5. On the impact of geospatial features in real estate appraisal with interpretable algorithms

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

    Författare :Simon Jäger; [2021]
    Nyckelord :Geospatial Features; Interpretable Artificial Intelligence; Feature Importance; Real Estate Appraisal; Geospatiala Variabler; Tolkningsbar Artificiell Intelligens; Variabelbetydelse; Fastighetsvärdering;

    Sammanfattning : Real estate appraisal is the means of defining the market value of land and property affixed to it. Many different features determine the market value of a property. For example, the distance to the nearest park or the travel time to the central business district may be significant when determining its market value. LÄS MER