Essays about: "support vector machine"

Showing result 1 - 5 of 412 essays containing the words support vector machine.

  1. 1. Modelling rare events using non-parametric machine learning classiers - Under what circumstances are support vector machines preferable to conventional parametric classiers?

    University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Author : Lukas Ma; [2021-04-06]
    Keywords : ;

    Abstract : Rare event modelling is an important topic in quantitative social science research. However, despite the fact that traditional classiers based upon general linear models (GLM) might lead to biased results, little attention in the social science community is devoted to methodological studies aimed at alleviating such bias, even fewer of them have considered the use of machine learning methods to tackle analytical problems imposed by rare events. READ MORE

  2. 2. Supervised fraud detection of mobile money transactions on different distributions of imbalanced data : A comparative study of the classification methods logistic regression, random forest, and support vector machine

    University essay from Uppsala universitet/Statistiska institutionen; Uppsala universitet/Statistiska institutionen

    Author : Isak Wirgen; Douglas Rube; [2021]
    Keywords : ;

    Abstract : The purpose of this paper is to compare the classification methods logistic regression, random forest, and support vector machine´s performance of detecting mobile money transaction fraud. Their performance will be evaluated on different distributions of imbalanced data in a supervised framework. READ MORE

  3. 3. A Comparison of Machine Learning Algorithms for Predicting Winners of League of Legends Matches

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Mikael Jafari; Joel Olbe; [2021]
    Keywords : ;

    Abstract : League of Legends is one of the largest online multiplayer games played by millions around the world. This report has studied the accuracy and efficiency of five different machine learning algorithms in predicting the winner in a match of League of Legends with data collected ten minutes after it started. READ MORE

  4. 4. All Negative on the Western Front: Analyzing the Sentiment of the Russian News Coverage of Sweden with Generic and Domain-Specific Multinomial Naive Bayes and Support Vector Machines Classifiers

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : David Michel; [2021]
    Keywords : sentiment analysis; news sentiment; text classification; cross-domain sentiment classification; domain specificity; domain-transfer problem; transfer learning; knowledge transfer; support vector machines; SVM; multinomial naive Bayes; Sweden; Aurora 17; Russia; Russian news; RT; Sputnik; cyberwarfare; influence campaign; disinformation; fake news; propaganda;

    Abstract : This thesis explores to what extent Multinomial Naive Bayes (MNB) and Support Vector Machines (SVM) classifiers can be used to determine the polarity of news, specifically the news coverage of Sweden by the Russian state-funded news outlets RT and Sputnik. Three experiments are conducted. READ MORE

  5. 5. Gearbox fault detection, based on Machine Learning of multiple sensors

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Armands Krumins; [2021]
    Keywords : condition monitoring; gear; machine learning; surface fatigue;

    Abstract : The increasing demand for higher efficiency and lower environmental impact of transmissions, used in automotive and wind energy industries has created a need for more advanced technical solutions to fulfil those requirements. Condition monitoring plays an important role in the transmission life cycle, saving resources and time. READ MORE