Sökning: "multiclass logistic regression"
Visar resultat 1 - 5 av 7 uppsatser innehållade orden multiclass logistic regression.
1. Applying the Shadow Rating Approach: A Practical Review
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : The combination of regulatory pressure and rare but impactful defaults together comprise the domain of low default portfolios, which is a central and complex topic that lacks clear industry standards. A novel approach that utilizes external data to create a Shadow Rating model has been proposed by Ulrich Erlenmaier. LÄS MER
2. Minimizing the expected opportunity loss by optimizing the ordering of shipping methods in e-Commerce using Machine Learning
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : The shopping industry is rapidly changing as the technology is advancing. This is especially true for the online industry where consumers are nowadays able to to shop much of what the need over the internet. LÄS MER
3. Automatic Flight Maneuver Identification Using Machine Learning Methods
Master-uppsats, Linköpings universitet/ReglerteknikSammanfattning : This thesis proposes a general approach to solve the offline flight-maneuver identification problem using machine learning methods. The purpose of the study was to provide means for the aircraft professionals at the flight test and verification department of Saab Aeronautics to automate the procedure of analyzing flight test data. LÄS MER
4. User Equipment Characterization using Machine Learning
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : With the ever increasing demand for higher data rates and reliability, efficient management of cellular networks remains a challenge. Among other technologies, fifth generation systems are expected to tackle this challenge using large electronically controllable antenna arrays operating in the time division duplex mode. LÄS MER
5. Semantic frame based automatic extraction of typological information from descriptive grammars
Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : This thesis project addresses the machine learning (ML) modelling aspects of the problem of automatically extracting typological linguistic information of natural languages spoken in South Asia from annotated descriptive grammars. Without getting stuck into the theory and methods of Natural Language Processing (NLP), the focus has been to develop and test a machine learning (ML) model dedicated to the information extraction part. LÄS MER