Sökning: "Feature Importance"
Visar resultat 11 - 15 av 316 uppsatser innehållade orden Feature Importance.
11. Predicting the Impact of Supply Chain Disruptions Using Statistical Analysis and Machine Learning
Master-uppsats, KTH/Matematisk statistikSammanfattning : The dairy business is vulnerable to supply chain disruptions since large safety stocks to cover up losses are not always a viable option, therefore it is crucial to maintain a smooth supply chain to ensure stable delivery accuracies. Disruptions are unpredictable and hard to avoid in the supply chain, especially in cases where production errors cause lost production volume. LÄS MER
12. Improving the Usability of Complex Life Science Software : Designing for a significant difference in skill among users in a scientific work domain
Master-uppsats, Uppsala universitet/Institutionen för informatik och mediaSammanfattning : The usability of complex scientific software is often lacking as it tends to not receive a high priority in development, in addition to the fact that developers are usually engineers with a low level of knowledge in usability areas. The study examines such a software in an environment with a significant difference in terms of user skill, which creates some issues in terms of improving usability. LÄS MER
13. Counterfactual and Causal Analysis for AI-based Modulation and Coding Scheme Selection
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Artificial Intelligence (AI) has emerged as a transformative force in wireless communications, driving innovation to address the complex challenges faced by communication systems. In this context, the optimization of limited radio resources plays a crucial role, and one important aspect is the Modulation and Coding Scheme (MCS) selection. LÄS MER
14. Unsupervised Anomaly Detection and Explainability for Ladok Logs
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Anomaly detection is the process of finding outliers in data. This report will explore the use of unsupervised machine learning for anomaly detection as well as the importance of explaining the decision making of the model. LÄS MER
15. Song Popularity Prediction with Deep Learning : Investigating predictive power of low level audio features
Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : Today streaming services are the most popular way to consume music, and with this the field of Music Information Retrieval (MIR) has exploded. Tangy market is a music investment platform and they want to use MIR techniques to estimate the value of not yet released songs. LÄS MER