Sökning: "Library classifier"

Visar resultat 1 - 5 av 23 uppsatser innehållade orden Library classifier.

1. 1. Erratic Patterns : Unravelling the Cultural Transfers of Library Classifiers

   Master-uppsats, Uppsala universitet/Institutionen för ABM

   Författare :Keeley Lindkvist; [2023]
   Nyckelord :Library classifier; library classification; classification; cultural transfer; classification and culture; Library of Congress Classifi-cation Scheme LCC ; knowledge organisation; knowledge organization; The Swedish Institute in Rome ISVRoma ; Biblioteksklassificerare; biblioteksklassificering; kulturell överföring; klassificering och kultur; Library of Congress klassificeringsschema LCC ; kunskapsorganisation; Svenska institutet i Rom ISVRoma ;

   Sammanfattning : This thesis investigates the oft-overlooked influence of the classifier's input during the assignment of library classifications and draws upon cultural transfer theory to shed light on the underlying principles that guide the process. Classifiers' personal knowledge, experience, and beliefs, have a critical role in determining the 'aboutness' of a work and its subsequent classification. LÄS MER

3. 2. User authentication through behavioral biometrics using multi-class classification algorithms : A comprehensive study of machine learning algorithms for keystroke and mouse dynamics

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Emil Lantz; [2023]
   Nyckelord :Behavioral biometrics; keystroke dynamics; mouse dynamics; machine learning; neural networks; decision trees.; Beteendemässig biometri; maskininlärning; neurala nätverk; beslutsträd.;

   Sammanfattning : User authentication is vital in a secure system. Authentication is achieved through something a genuine user knows, has, or is. The latter is called biometrics, commonly attributed with fingerprint and face modalities. It is also possible to identify a user based on their behavior, called behavioral biometrics. LÄS MER

4. 3. Predicting Disengagement in Short-Term Human-Robot Interactions : A Study in a University Library Setting

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Joseph Karroum; Tomas Yonas Weldetinsae; [2023]
   Nyckelord :;

   Sammanfattning : This report presents a study that investigated the effectiveness of Support Vector Machine (SVM) as a machine learning learning technique for detecting human engagement during short-term interactions with social robots in a library setting. The goal was to build an SVM-based model trained on a dataset of recorded interactions and evaluate its performance in predicting engagement levels. LÄS MER

5. 4. Prediction of Stock Returns Using Accounting Data with a Machine Learning Approach

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Ludvig Ekmark; Tobias Frisell; [2022-06-30]
   Nyckelord :Stock price prediction; Accounting data; Machine learning; Gradient boosting decision trees; CatBoost classifier; Logistic regression; Feature importance;

   Sammanfattning : The relationship between accounting data and stock price prediction has been a hot topic for over half a century. Researchers have been trying to identify the relationship and investigate how it may be useful when trying to improve prediction accuracy. LÄS MER

7. 5. Exploring Patient Classification Based on Medical Records : The case of implant bearing patients

   Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Författare :Benjamin Danielsson; [2022]
   Nyckelord :;

   Sammanfattning : In this thesis, the application of transformer-based models on the real-world task of identifying patients as implant bearing is investigated. The task is approached as a classification task and five transformer-based models relying on the BERT architecture are implemented, along with a Support Vector Machine (SVM) as a baseline for comparison. LÄS MER