Sökning: "Support Vector Machines"

Visar resultat 1 - 5 av 205 uppsatser innehållade orden Support Vector Machines.

  1. 1. Predicting the size of a company winning a procurement: an evaluation study of three classification models

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Ellen Björkegren; [2022]
    Nyckelord :public procurement; classification; Linear Discriminant Analysis; Random Forests; Support Vector Machines;

    Sammanfattning : In this thesis, the performance of the classification methods Linear Discriminant Analysis (LDA), Random Forests (RF), and Support Vector Machines (SVM) are compared using procurement data to predict what size company will win a procurement. This is useful information for companies, since bidding on a procurement takes time and resources, which they can save if they know their chances of winning are low. LÄS MER

  2. 2. Feasibility of single time point dosimetry during 177Lu-PSMA-617 treatments of prostate cancer

    Master-uppsats, Lunds universitet/Sjukhusfysikerutbildningen

    Författare :Elias Nilsson; [2022]
    Nyckelord :Medicine and Health Sciences;

    Sammanfattning : Introduction: Standard dosimetry methods for radionuclide therapies re- quire imaging at multiple time points post injection. An alternative method has been presented in the literature that uses previously acquired pharma- cokinetic data to create so-called dose factors. LÄS MER

  3. 3. Predicting misuse of subscription tranquilizers : A comparasion of regularized logistic regression, Adaptive Bossting and support vector machines

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Ida Norén; [2022]
    Nyckelord :Adaptive Boosting; Benzodiazepines; classification; lasso regularization; logistic regression; support vector machines;

    Sammanfattning : Tranquilizer misuse is a behavior associated with substance use disorder. As of now there is only one published article that includes a predictive model on misuse of subscription tranquilizers. LÄS MER

  4. 4. Predicting Political Party Affiliation in the Swedish Parliament using Natural Language Processing

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Johannes Zetterberg; [2022]
    Nyckelord :Machine learning; support vector machines; naive Bayes; transformer; BERT; text classification; NLP;

    Sammanfattning : Text classification is a fundamental part of natural language processing. In this thesis, methods for text classification are used in an attempt to predict the political party affiliation of members of parliament (MPs). LÄS MER

  5. 5. Stock Price Prediction Using Machine Learning

    Magister-uppsats, Södertörns högskola/Nationalekonomi

    Författare :Yixin Guo; [2022]
    Nyckelord :Machine Learning; Stock Price; Time Series Data; Deep Learning;

    Sammanfattning : Accurate prediction of stock prices plays an increasingly prominent role in the stock market where returns and risks fluctuate wildly, and both financial institutions and regulatory authorities have paid sufficient attention to it. As a method of asset allocation, stocks have always been favored by investors because of their high returns. LÄS MER