Essays about: "Over- estimation"

Showing result 1 - 5 of 562 essays containing the words Over- 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

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Alexander Florean; [2024]
    Keywords : 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;

    Abstract : 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. READ MORE

  3. 2. Movement Estimation with SLAM through Multimodal Sensor Fusion

    University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Author : Jimmy Cedervall Lamin; [2024]
    Keywords : slam; discrete-slam; continuous-slam; synchronous; asynchronous; computer vision; BRISK; opencv; ceres; visual; inertial; sensor fusion; multimodal; Simultaneous Localization and Mapping; time offset; pose estimation; quaternions; movement estimation;

    Abstract : In the field of robotics and self-navigation, Simultaneous Localization and Mapping (SLAM) is a technique crucial for estimating poses while concurrently creating a map of the environment. Robotics applications often rely on various sensors for pose estimation, including cameras, inertial measurement units (IMUs), and more. READ MORE

  4. 3. Hyperspectral and multispectral satellite data analysis of nitrogen in grazed and ungrazed tundra in Långfjället, Sweden

    University essay from Göteborgs universitet/Institutionen för geovetenskaper

    Author : Emma Dahlstedt; [2023-08-18]
    Keywords : Hyperspectral imaging; Imaging spectroscopy; Nitrogen; Reindeer; Herbivory; Tundra; Grazing;

    Abstract : Reindeer are a keystone species in the circumpolar north, where they hold great cultural and ecological importance. Continued climate change threatens the long-term sustainability of reindeer husbandry. Reindeer can affect the tundra landscape, influencing the soil nutrient cycling, including the soil nitrogen availability. READ MORE

  5. 4. Value at Risk Estimation using GARCH Family Models: A Comparison of Different Specifications and Distributions.

    University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Author : Khaled Jrideh; [2023-05-26]
    Keywords : ;

    Abstract : The objective of this study is to compare the performance of different GARCH models, under various conditional distribution assumptions, to predict one-day-ahead Value-at-Risk (VaR) for three stocks: Swedbank, Handelsbanken, and SEB over the Covid-19 period. The performance is evaluated using Kupiec, Christoffersen tests and the Quadratic Loss. READ MORE

  6. 5. Staff Shortage on SJ Trains

    University essay from KTH/Matematisk statistik

    Author : Casper Öberg; Nora Moro; [2023]
    Keywords : Multiple linear regression; Residual analysis; Multicollinearity; Staff shortage; Forecast; Trains; Multipel linjär regression; Residualanalys; Multikollinearitet; Personalbrist; Prognos; Tåg;

    Abstract : This thesis is a case study in collaboration with SJ AB, a government owned railway companyin Sweden. The employees aboard the trains are an essential part of operating thetrains efficiently. Therefore, it is vital to forecast absences well in order to avoid havingto cancel train trips or having employees work over time. READ MORE