Essays about: "Modellkomplexitet"

Showing result 1 - 5 of 9 essays containing the word Modellkomplexitet.

  1. 1. Optimizing Realistic 3D Facial Models for VR Avatars through Mesh Simplification

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Beiqian Liu; [2023]
    Keywords : Mesh Simplification; Virtual Reality; Realistic Avatars; 3D Face Reconstruction;

    Abstract : The use of realistic 3D avatars in Virtual Reality (VR) has gained significant traction in applications such as telecommunication and gaming, offering immersive experiences and face-to-face interactions. However, standalone VR devices often face limitations in computational resources and real-time rendering requirements, necessitating the optimization of 3D models through mesh simplification to enhance performance and ensure a smooth user experience. READ MORE

  3. 2. Portfolio Risk Modelling in Venture Debt

    University essay from KTH/Matematisk statistik

    Author : John Eriksson; Jacob Holmberg; [2023]
    Keywords : Startup Default Probability; Venture Debt; Gaussian Copula; Value-at-Risk; Expected Shortfall; Exposure at Default; Loss Given Default; Forecast; Linear Dynamic System; ARIMA Time Series; Monte Carlo Simulation; Linear Regression; Central Limit Theorem;

    Abstract : This thesis project is an experimental study on how to approach quantitative portfolio credit risk modelling in Venture Debt portfolios. Facing a lack of applicable default data from ArK and publicly available sets, as well as seeking to capture companies that fail to service debt obligations before defaulting per se, we present an approach to risk modeling based on trends in revenue. READ MORE

  4. 3. Sign of the Times : Unmasking Deep Learning for Time Series Anomaly Detection

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Daniel Richards Ravi Arputharaj; [2023]
    Keywords : Anomaly detection; multivariate time series data; deep learning models; model complexity; resource-constrained systems; Variational Autoencoders VAEs ; Convolutional Variational Autoencoders; evaluation metrics in time series; Anomalidetektering; Multivariata tidsseriedata; Djupinlärningsmodeller; Modellkomplexitet; Resursbegränsade system; Variational Autoencoders VAEs ; Konvolutionella Variational Autoencoders; Utvärderingsmått inom tidsserier;

    Abstract : Time series anomaly detection has been a longstanding area of research with applications across various domains. In recent years, there has been a surge of interest in applying deep learning models to this problem domain. READ MORE

  5. 4. XAI-assisted Radio Resource Management: Feature selection and SHAP enhancement

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Nicolás Sibuet Ruiz; [2022]
    Keywords : Deep Learning; Explainable Artficial Intelligence; 5G; Model Reduction; Deep Learning; Förklarlig AI; 5G; Modellreduktion;

    Abstract : With the fast development of radio technologies, wireless systems have become more convoluted. This complexity, accompanied by an increase of the number of connections, is translated into a need for more parameters to analyse and decisions to take at each instant. READ MORE

  6. 5. Interweaving AutoML and Data Science Method

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Edvard Aldor; Daniel Helle; [2021]
    Keywords : ;

    Abstract : The advent of automated machine learning (AutoML) tools promises to democratize machine learning to non-experts in the field. These tools certainly effect the process of applying machine learning for non-experts, but it is not clear how data scientists will be able to draw benefit from having access to automated machine learning systems. READ MORE