Sökning: "imputation"

Visar resultat 21 - 25 av 68 uppsatser innehållade ordet imputation.

  1. 21. A mixed clinicopathological and molecular proxy of homologous recombination deficiency in triple negative breast cancer

    Master-uppsats, Lunds universitet/Examensarbeten i bioinformatik

    Författare :Elise Walford; [2021]
    Nyckelord :Biology and Life Sciences;

    Sammanfattning : Clinical models are increasingly employed in medical science as either diagnostic or prognostic aids. Machine-learning methods are able to draw links in large data that can be used to predict patient risk and allow more informed decisions regarding treatment and medication intervention. LÄS MER

  3. 22. AI applications on healthcare data

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Oscar Andersson; Tim Andersson; [2021]
    Nyckelord :AI; Machine Learning; Data missingness; healthcare;

    Sammanfattning : The purpose of this research is to get a better understanding of how different machine learning algorithms work with different amounts of data corruption. This is important since data corruption is an overbearing issue within data collection and thus, in extension, any work that relies on the collected data. LÄS MER

  4. 23. Imputation and Generation of Multidimensional Market Data

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Tobias Wall; Jacob Titus; [2021]
    Nyckelord :Time Series Imputation; Financial Time Series; Machine Learning; Deep Learning; Value at Risk; Expected Shortfall; Imputering av Tidsserier; Finansiella Tidsserier; Maskininlärning; Djupinlärning; Value at Risk; Expected Shortfall;

    Sammanfattning : Market risk is one of the most prevailing risks to which financial institutions are exposed. The most popular approach in quantifying market risk is through Value at Risk. Organisations and regulators often require a long historical horizon of the affecting financial variables to estimate the risk exposures. LÄS MER

  5. 24. Machine Learning Based Beam Tracking in mmWave Systems

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

    Författare :Yizhan Yang; [2021]
    Nyckelord :Beam Tracking; Machine Learning; RNN; LSTM; Strålspårning; Maskininlärning; RNN; LSTM;

    Sammanfattning : The demand for high data rates communication and scarcity of spectrum in existing microwave bands has been the key aspect in 5G. To fulfill these demands, the millimeter wave (mmWave) with large bandwidths has been proposed to enhance the efficiency and the stability of the 5G network. LÄS MER

  7. 25. Methods for handling missing values : A simulation study comparing imputation methods for missing values on a Poisson distributed explanatory variable

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Fanny Bengtsson; Klara Lindblad; [2021]
    Nyckelord :;

    Sammanfattning : .... LÄS MER