Sökning: "feature selection"

Visar resultat 26 - 30 av 318 uppsatser innehållade orden feature selection.

  1. 26. Test Case Selection in Continuous Integration Using Reinforcement Learning with Linear Function Approximator

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Younus Salman; [2023]
    Nyckelord :test case selection; reinforcement learning; function approximation; feature sets; machine learning; continuous integration;

    Sammanfattning : Continuous Integration (CI) has become an essential practice in software development, allowing teams to integrate code changes frequently and detect issues early. However, the selection of proper test cases for CI remains a challenge, as it requires balancing the need for thorough testing with the minimization of execution time and resources. LÄS MER

  3. 27. Exploring the Importance of Women's Educational Attainment in HIV Risk Prediction : A Comparative Study of Logistic Regression, Random Forest and XGBoost

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Towe Wallkulle; [2023]
    Nyckelord :;

    Sammanfattning : Due to extensive HIV testing and treatment programs, the rate of new HIV infections has declined in recent years. However, young women South of the Sahara continue to be disproportionately burdened by the epidemic. The aim of this thesis is to explore the complex association between women's educational attainment and HIV prevalence. LÄS MER

  4. 28. Quantum Algorithms for Feature Selection and Compressed Feature Representation of Data

    Master-uppsats, KTH/Fysik

    Författare :William Laius Lundgren; [2023]
    Nyckelord :Feature selection; autoencoders; quantum machine learning; quantum circuits; quantum annealing; Funktionsval; datakompression; kvantmaskininlärning; kvantalgoritmer; kvantkretsar;

    Sammanfattning : Quantum computing has emerged as a new field that may have the potential to revolutionize the landscape of information processing and computational power, although physically constructing quantum hardware has proven difficult,and quantum computers in the current Noisy Intermediate Scale Quantum (NISQ) era are error prone and limited in the number of qubits they contain.A sub-field within quantum algorithms research which holds potential for the NISQ era, and which has seen increasing activity in recent years, is quantum machine learning, where researchers apply approaches from classical machine learning to quantum computing algorithms and explore the interplay between the two. LÄS MER

  5. 29. Data-Driven Success in Infrastructure Megaprojects. : Leveraging Machine Learning and Expert Insights for Enhanced Prediction and Efficiency

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :David E.G. Nordmark; [2023]
    Nyckelord :Megaproject; Small sample size; Project management; Random forest; Critical success factors; Feature selection; Recursive feature elimination; Megaprojekt; Små dataurval; Projektledning; Random forest; Kritiska framgångsfaktorer; Variabel urval; Rekursiv variabel eliminering;

    Sammanfattning : This Master's thesis utilizes random forest and leave-one-out cross-validation to predict the success of megaprojects involving infrastructure. The goal was to enhance the efficiency of the design and engineering phase of the infrastructure and construction industries. LÄS MER

  7. 30. Evaluation of machine learning models for classifying malicious URLs

    Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/Datavetenskap

    Författare :Shayan Abad; Hassan Gholamy; [2023]
    Nyckelord :Machine learning; Cyber security; Classification; Malicious URL; Instance selection;

    Sammanfattning : Millions of new websites are created daily, making it challenging to determine which ones are safe. Cybersecurity involves protecting companies and users from cyberattacks. Cybercriminals exploit various methods, including phishing attacks, to trick users into revealing sensitive information. LÄS MER