Sökning: "logistic Thesis"

Visar resultat 1 - 5 av 616 uppsatser innehållade orden logistic Thesis.

1. 1. RÖSTAR INVANDRINGSKRITISKA INVANDRARE OCKSÅ PÅ INVANDRINGSKRITISKA PARTIER? En kvantitativ studie av personer med invandrarbakgrunds röstning invandringskritiska partier

   Kandidat-uppsats, Göteborgs universitet/Statsvetenskapliga institutionen

   Författare :Viktor Bergesen; [2024-03-18]
   Nyckelord :Voting behavior; far right parties; anti-immigration;

   Sammanfattning : Standard explanations of voting behavior of people with immigrant background and anti immigrant sentiments would predict people with an immigrant background to not vote for anti-immigration parties. However, this does not seem to be the case. LÄS MER

3. 2. Prevalent Discord. Exploring and estimating the prevalence of the type of user disagreement on news media Facebook posts discussing the Colombian peace process (2020-2022)

   Master-uppsats, Lunds universitet/Graduate School

   Författare :Luis Felipe Villota Macias; [2024]
   Nyckelord :Agonistic peace; antagonism; big data analytics; binary logistic regression; computational content analysis; Colombia; Colombian peace process; discord; Facebook; machine learning; peace process; public opinion and sentiment; social media; Law and Political Science; Social Sciences;

   Sammanfattning : This thesis is dedicated to exploring and understanding public reactions within negotiated peace settlements based on social media data. Concretely, to modeling public opinion and sentiment within the context of the Colombian peace process using a curated dataset of N= ~1. LÄS MER

4. 3. 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

5. 4. Android Malware Detection Using Machine Learning

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Rahul Sai Kesani; [2024]
   Nyckelord :Malware; Machine Learning; Random Forest; Sequential Neural Network.;

   Sammanfattning : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. LÄS MER

7. 5. Were the most important election pledges fulfilled? An empirical investigation of the Swedish government’s pledge fulfillment after the 2014 parliamentary election

   Master-uppsats, Lunds universitet/Graduate School

   Författare :Ida Steineck Nilsson; [2024]
   Nyckelord :Election pledges; pledge fulfillment; the mandate model; promissory representation; Swedish politics; Law and Political Science;

   Sammanfattning : This thesis provides an account of the pledge-making and eventual pledge fulfilment of the Swedish government of 2014, which consisted of the Social Democratic Party and the Green Party. It is grounded in the theoretical approaches of the mandate model of representation and promissory representation. LÄS MER