Essays about: "Non-linear models"

Showing result 1 - 5 of 246 essays containing the words Non-linear models.

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. Exploring adaptation of self-supervised representation learning to histopathology images for liver cancer detection

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Markus Jonsson; [2024]
   Keywords : Self-supervised learning; Representation learning; Computer vision;

   Abstract : This thesis explores adapting self-supervised representation learning to visual domains beyond natural scenes, focusing on medical imaging. The research addresses the central question: "How can self-supervised representation learning be specifically adapted for detecting liver cancer in histopathology images?" The study utilizes the PAIP 2019 dataset for liver cancer segmentation and employs a self-supervised approach based on the VICReg method. READ MORE

4. 3. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network

   University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

   Author : Alireza Momtaz; Mohammad Befkin; [2024]
   Keywords : Genetic Algorithm; Neural Network; Forecasting; Heat Use;

   Abstract : In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). READ MORE

5. 4. Quantum Optical Description of High-order Harmonic Generation

   University essay from Lunds universitet/Atomfysik; Lunds universitet/Fysiska institutionen

   Author : Isabel Moreno; [2024]
   Keywords : Physics and Astronomy;

   Abstract : High-order Harmonic Generation (HHG) is a highly non-linear process in which an atom interacts with a strong laser field. The laser field lowers the atomic potential barrier allowing bound electrons to escape into the continuum through tunnel ionization, propagate, and, with some probability, recombine with the parent ion. READ MORE

6. 5. Classifying Previous Covid-19 Infection : Advanced Logistic Regression Approach

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Daniel Westerholm; [2023]
   Keywords : Covid-19; logistic regression; clustering;

   Abstract : The study aimed to developed a logistic model based on antibody proteins, vaccinations and demographic factors that predicts previous infection in Covid-19. The data set comprised of 2750 individuals from eldercare homes in Sweden, with four test dates executed between October of 2021 and August of 2022. READ MORE