Sökning: "bagging"
Visar resultat 16 - 20 av 35 uppsatser innehållade ordet bagging.
16. I vilken omfattning sker spannmålskonservering med propionsyra? : en intervjustudie med lantbrukare i Västerbottens län
M1-uppsats, SLU/Dept. of Biosystems and Technology (from 130101)Sammanfattning : Spannmål kan konserveras genom att sänka vattenhalten, sänka temperaturen, hindra syretillförsel eller att tillsätta konserveringsmedel. I dag är att sänka vattenhalten, det vill säga torkning den vanligaste metoden men ska spannmålen användas till djurfoder är torkning inget krav utan då finns det olika metoder till att lagra den fuktig. LÄS MER
17. Ensemble approach to code smell identification : Evaluating ensemble machine learning techniques to identify code smells within a software system
Master-uppsats, Jönköping University/JTH, Datateknik och informatikSammanfattning : The need for automated methods for identifying refactoring items is prelevent in many software projects today. Symptoms of refactoring needs is the concept of code smells within a software system. Recent studies have used single model machine learning to combat this issue. LÄS MER
18. Improving Generalization in Reinforcement Learningusing Skill-based Rewards
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement Learning is a promising approach to develop intelligent agents that can help game developers in testing new content. However, applying it to a game with stochastic transitions like Candy Crush Friends Saga (CCFS) presents some challenges. LÄS MER
19. Enhance pilot's decision : Determination of balanced field length using neural network
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The data reliability is crucial in aeronautics because the least miscalculation can lead to crash. Among these data, the balanced field length (BFL) is defined as the shortest field length at which both the take-off and the acceleration-stop can be performed. LÄS MER
20. Machine Learning for Predictive Maintenance on Wind Turbines : Using SCADA Data and the Apache Hadoop Ecosystem
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : This thesis explores how to implement a predictive maintenance system for wind turbines in Apache Spark using SCADA data. How to balance and scale the data set is evaluated, together with the effects of applying the algorithms available in Spark mllib to the given problem. LÄS MER