Sökning: "obalanserade data"
Visar resultat 21 - 25 av 29 uppsatser innehållade orden obalanserade data.
21. Planning for Viable Forests with High Biodiversity
Kandidat-uppsats, Lunds universitet/Miljövetenskaplig utbildningSammanfattning : In recent decades, the rate of extinction of species is increasing due to human use and refinement of nature. This has resulted in a large amount of research throughout the world. Forestry today is mostly based on clear cuts, and many natural forests have been cut down and replaced with monocultured forests. LÄS MER
22. Detection and Classification of Anomalies in Road Traffic using Spark Streaming
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Road traffic control has been around for a long time to guarantee the safety of vehicles and pedestrians. However, anomalies such as accidents or natural disasters cannot be avoided. Therefore, it is important to be prepared as soon as possible to prevent a higher number of human losses. LÄS MER
23. 3D Shape Detection for Augmented Reality
Uppsats för yrkesexamina på avancerad nivå, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In previous work, 2D object recognition has shown exceptional results. However, it is not possible to sense the environment spatial information, where the objects are and what they are. LÄS MER
24. Attitydanalys av svenska produktomdömen – behövs språkspecifika verktyg?
Kandidat-uppsats, Stockholms universitet/Institutionen för lingvistikSammanfattning : Sentiment analysis of Swedish data is often performed using English tools and machine. This thesis compares using a neural network trained on Swedish data with a corresponding one trained on English data. LÄS MER
25. A Comparison of Resampling Techniques to Handle the Class Imbalance Problem in Machine Learning : Conversion prediction of Spotify Users - A Case Study
Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)Sammanfattning : Spotify uses a freemium business model, meaning that it has two main products, one free limited and one premium for paying customers. In this study we investigated machine learning models’ abilities, given user activity data, to predict conversion from free to premium. LÄS MER