Sökning: "variable selection"

Visar resultat 1 - 5 av 231 uppsatser innehållade orden variable selection.

1. 1. UNGA VUXNAS UPPFATTNINGAR OM FALSKA NYHETER OCH DERAS TILLIT TILL NYHETSKANALER. En kvalitativ intervjustudie

   Kandidat-uppsats, Göteborgs universitet/Institutionen för journalistik, medier och kommunikation

   Författare :Andrea Ångman; [2024-03-01]
   Nyckelord :Fake news;

   Sammanfattning : The purpose of this study is to look into what low-educated and highly-educated young adults aged 20-30 think affects the spread of fake news and how they feel that their trust in news sources is affected when they become increasingly exposed to it. By mapping the respondents' view of the phenomenon of fake news and its influence on their information intake, the study aims to understand whether their trust in news sources is affected. LÄS MER

3. 2. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Zeyuan Wu; [2024]
   Nyckelord :Machine Learning; Diagnosis of Sepsis; XGBoost; Logistic Regression; Mathematics and Statistics;

   Sammanfattning : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. LÄS MER

4. 3. Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods

   Kandidat-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Markus Gerholm; Johan Sörstadius; [2024]
   Nyckelord :Linear regression; high dimensional data; regularization; Bayesian methods; Mathematics and Statistics;

   Sammanfattning : As the amount of high dimensional data becomes increasingly accessible and common, the need for reliable methods to combat problems such as overfitting and multicollinearity increases. Models need to be able to manage large data sets where predictor variables often outnumber the amount of observations. LÄS MER

5. 4. Regression and time estimation in the manufacturing industry

   Kandidat-uppsats, Uppsala universitet/Statistik, AI och data science

   Författare :Walter Bjernulf; [2023]
   Nyckelord :regression; linear regression; regression trees; random forests; cross validation; variable selection; conformal prediction;

   Sammanfattning : In this thesis an analysis is performed on operation times for different sized products in a manufacturing company. The thesis will introduce and summarise most of the theory needed to perform regression and also cover a worked example where three different regression models are learned, evaluated and analysed. LÄS MER

7. 5. Assessment and evaluation of heterogeneity in data from immune infiltration spatial niches in lung cancer

   Kandidat-uppsats, Lunds universitet/Matematisk statistik

   Författare :Mahta Keivani Najafabadi; [2023]
   Nyckelord :Mathematics and Statistics;

   Sammanfattning : The protein biomarker expressions in three types of sampled immune INFILTration spatial niches in lung cancer tissue were measured using the new technology Digital Spatial Profiler (DSP). The three types of immune INFILTration that were observed in lung tumors were STROMA identified as immune cells separate from tumor cells, Tertiary lymphoid structures (TLS) identified as dense structures of organized immune cells and finally Infiltraterate where immune cells dispersed among and in direct contact with tumor cells (INFILT). LÄS MER