Sökning: "Rule based"
Visar resultat 1 - 5 av 1294 uppsatser innehållade orden Rule based.
1. Comparison of VADER and Pre-Trained RoBERTa: A Sentiment Analysis Application
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : Purpose: The purpose of this study is to examine how the overall sentiment results from VADER and a pre-trained RoBERTa model differ. The study investigates potential differences in terms of the median and shape of the two distributions. Data: The sustainability reports of 50 independent random companies are selected as the sample. LÄS MER
2. Decision Trees for Classification of Repeated Measurements
Kandidat-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenSammanfattning : Classification of data from repeated measurements is useful in various disciplines, for example that of medicine. This thesis explores how classification trees (CART) can be used for classifying repeated measures data. LÄS MER
3. Demokratisk tillbakagång och försök till demokratisk framgång
L2-uppsats, Lunds universitet/Statsvetenskapliga institutionenSammanfattning : This text is a comparative case study with focus on the two cases Hungary and Poland. The purpose with this study is to investigate which factors that affect the democratic backsliding in each country. The study also aims to answer which factors that affected Poland's attempt in 2023 to become more democratic. LÄS MER
4. Påverkar medlemmarnas engagemang uppfattningen av medlemskap, förtroende och socialt kapital? : en komparativ studie mellan olika engagemangsnivåer bland medlemmar
Uppsats för yrkesexamina på avancerad nivå, SLU/Dept. of EconomicsSammanfattning : Sverige är unikt som land med sin höga andel skog av den totala ytan, 75% utgörs av jord- och skogsmark, vilket motsvarar 30,9 miljoner hektar. Det gör att skogsnäringen har en viktig roll för Sverige, både för handeln, exporten och sysselsättningen inom landet. LÄS MER
5. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER