Sökning: "empirical estimation"

Visar resultat 1 - 5 av 274 uppsatser innehållade orden empirical estimation.

1. 1. 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

3. 2. En jämförande studie mellan traditionell hudvecksmätning (Harpenden) och ultraljudsmätning (BodyMetrix) för bestämning av kroppssammansättning

   Uppsats för yrkesexamina på grundnivå, Uppsala universitet/Pediatrisk inflammations- och metabolismforskning samt barnhälsa

   Författare :Johanna Sömskar; Julia Henningsson; [2023]
   Nyckelord :;

   Sammanfattning : Background:Biomedical technology is a rapidly evolving field. The development of new technologies andmethods taking place at the same time as the range of products increases. It is not uncommonfor there to be multiple apparatuses for the same purpose, and the field of body composition isno exception. LÄS MER

4. 3. The Diplomacy of Trade: An Empirical Investigation of State Visits as a Tool for Export Promotion and the Specific Role of the Head of State

   Master-uppsats, Lunds universitet/Nationalekonomiska institutionen

   Författare :Ebba Lundqvist; Clara Wieslander; [2023]
   Nyckelord :State Visits; Export Promotion; Head of State; Monarchy; Republic; Difference-in-Differences; Business and Economics;

   Sammanfattning : This paper evaluates the impact of state visits on export flows and the specific role of the head of state based on the five Nordic countries: Denmark, Finland, Iceland, Norway, and Sweden. We construct a complete and comprehensive dataset containing all outgoing state visits from the Nordic countries between 1973 and 2022. LÄS MER

5. 4. Mechanistic Model Development for a Multi-Enzyme Protein Hydrolysis Process

   Master-uppsats, Lunds universitet/Kemiteknik (CI)

   Författare :Tito Nilsson; [2023]
   Nyckelord :Mechanistic Model; Enzyme; Hydrolysis; Chemical Engineering; Technology and Engineering;

   Sammanfattning : New food products are constantly put on the market. Today the focus often lies in creating nutritional and sustainable products to reduce the environmental impact of the product in question. One example of this is the approval of the yellow mealworm, Tenebrio Molitor, as a novel food in the European union. LÄS MER

7. 5. Implementing SAE Techniques to Predict Global Spectacles Needs

   Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

   Författare :Yuxue Zhang; [2023]
   Nyckelord :small area estimation; area-level model; empirical best linear unbiased prediction EBLUP ; generalized linear mixed models; Conditional Autoregressive; spatial correlation; spectacle needs; assistive products; auxiliary data; hglm; relative standard error; simulation;

   Sammanfattning : This study delves into the application of Small Area Estimation (SAE) techniques to enhance the accuracy of predicting global needs for assistive spectacles. By leveraging the power of SAE, the research undertakes a comprehensive exploration, employing arange of predictive models including Linear Regression (LR), Empirical Best Linear Unbiased Prediction (EBLUP), hglm (from R package) with Conditional Autoregressive (CAR), and Generalized Linear Mixed Models (GLMM). LÄS MER