Sökning: "SVM classification"
Visar resultat 21 - 25 av 214 uppsatser innehållade orden SVM classification.
21. Supervised classification for human movement data : A comparative study of functional and traditional methods
Magister-uppsats, Umeå universitet/StatistikSammanfattning : Functional data analysis (FDA) has a growing importance in statistics, especially in disciplines like biomechanics, where it is common to observe data over time. The objective of this thesis is to employ FDA techniques and compare the classification performance of supervised classification models utilizing functional data with the same models using a discrete summary measurement (max-values) as input. LÄS MER
22. Computer-vision as an ErrorRecognition Tool for IndustryProduction Lines : A comparative study of models and neural networks
Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Sammanfattning : To use machine learning as a tool to help humans perform tasks is a common occurrence these days. Machine learning integration in the wood processing industry however, is more rare. Therefore it is suitable to research if machine learning works for some problem in this area. LÄS MER
23. Automatic evaluation of the effectiveness ofcommunication between software developers -NLP/AI
Kandidat-uppsats, Mittuniversitetet/Institutionen för kommunikation, kvalitetsteknik och informationssystem (2023-)Sammanfattning : Communication is one of the most demanding andimportant parts of effective software development.Furthermore, the effectiveness of software developmentcommunication can be measured with the three collaborativeinterpersonal problem-solving conversation dimensions:Active Discussion, Creative Conflict, and ConversationManagement. LÄS MER
24. A Comparative Study on the Effects of Removing the Most Important Feature on Random Forest and Support Vector Machine
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Machine learning (ML) for classification is largely regarded as a “black box”, in that it’s difficult to fully understand how the model reached a decision, and how changes to the input affects the output. Therefore, exploring the inner workings of classification models are of interest for expanding the current knowledge base, providing guidelines for choosing a more suitable classification model for a specific problem. LÄS MER
25. Automated Metadata Extraction for Job Advertisements
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : This thesis is written in collaboration with the Swedish Public Employment Service and aims to investigate methods and techniques to automatically extract metadata from unstructured texts. The Swedish Public Employment Service collect job ads from different private job boards and these ads consist of a title and description and are thus of an unstructured format. LÄS MER