Essays about: "multinomial models"
Showing result 1 - 5 of 35 essays containing the words multinomial models.
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1. Optimising Machine Learning Models for Imbalanced Swedish Text Financial Datasets: A Study on Receipt Classification : Exploring Balancing Methods, Naive Bayes Algorithms, and Performance Tradeoffs
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : This thesis investigates imbalanced Swedish text financial datasets, specifically receipt classification using machine learning models. The study explores the effectiveness of under-sampling and over-sampling methods for Naive Bayes algorithms, collaborating with Fortnox for a controlled experiment. READ MORE
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2. Intergenerational Educational Mobility among Immigrants and Natives in Germany
University essay from Lunds universitet/Ekonomisk-historiska institutionenAbstract : This study examines the intergenerational educational mobility among immigrants and natives in Germany. Three regression models are estimated to investigate potential differences in the transmission of human capital from parents to their children between immigrants and natives. READ MORE
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3. Multi-Class Classification for Predicting Customer Satisfaction : Application of machine learning methods to predict customer satisfaction at IKEA
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Gaining a comprehensive understanding of the features that contribute to customer satisfaction after contact with IKEA’s Remote Customer Meeting Points (RCMPs) is essential for implementing effective remedial measures in the future. The aim of this project is to investigate if it is possible to find key features that influence customer satisfaction and to use these to predict customer satisfaction. READ MORE
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4. Sentence based risk classifier using NLP and machine learning
University essay from Högskolan i HalmstadAbstract : This project was inspired by the company Dizparc and has a focus onclassification systems together with certain applications of natural languageprocessing. Classification systems are a very extensively researched areadating back to the latter half of the 1900s with multiple different ways of theproblems presented up until its more modern takes in today’s age. READ MORE
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5. A study about Active Semi-Supervised Learning for Generative Models
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : In many relevant scenarios, there is an imbalance between abundant unlabeled data and scarce labeled data to train predictive models. Semi-Supervised Learning and Active Learning are two distinct approaches to deal with this issue. READ MORE