Sökning: "imputation"

Visar resultat 11 - 15 av 68 uppsatser innehållade ordet imputation.

  1. 11. Iterative full-genome phasing and imputation using neural networks

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Människans evolution

    Författare :Lotta Rydin; [2022]
    Nyckelord :Machine learning; Genotype data; U-Net; Convolutional neural networks;

    Sammanfattning : In this project, a model based on a convolutional neural network have been developed with the aim of imputing missing genotype data. This model was based on an already existing autoencoder that was modified into a U-Net structure. The network was trained and used iteratively with the intention that the result would improve in each iteration. LÄS MER

  3. 12. Super-Resolution Vehicle Trajectory using Recurrent Time Series Imputation

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Hasnain Roopawalla; [2022]
    Nyckelord :;

    Sammanfattning : Vehicle data finds its use in a variety of applications in the fields of machine learning and data analysis. The volume of available data is limited by the frequency of data collection, and for several reasons, it can be infeasible to simply amplify this frequency. LÄS MER

  4. 13. Geospatial Timeseries Imputation using Deep Neural Networks

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Mattis Kienmayer; [2022]
    Nyckelord :;

    Sammanfattning : With the advancement of technology, data collection has become a big part of many industries.Large amounts of data can be used for analytics purposes, and give companies the opportunityto offer a wider range of services to their customers. LÄS MER

  5. 14. Imputing connections of random gene networks from time series data using ANNs

    Master-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Sofia Andersson; [2022]
    Nyckelord :artificial neural networks; ANNs; gene regulatory networks; GRNs; imputation; gene regulatory network imputation; GRN imputation; CNNs; convolutional neural network; randomly generated networks; ternary classification; binary classification; network inference; Physics and Astronomy;

    Sammanfattning : This thesis presents the architecture of a convolutional neural network which is trained to impute the connections of randomly generated gene regulatory networks under varying amounts of regularisation. The generated gene networks are simulated from 10 different starting conditions for each set of connections in order to obtain multiple time series. LÄS MER

  7. 15. IPW vs Imputation for Non-response : a simulation study

    Master-uppsats, Stockholms universitet/Statistiska institutionen

    Författare :Sandra Niemi; [2022]
    Nyckelord :Imputation; Non-response; Weighting; Simulation;

    Sammanfattning : The non-response is a growing issue and it is effecting the result of survey quality, it can there- fore not be ignored without substantial consequences. There are many methods on how to deal with non-response, both on how to avoid the non-response and how to minimise the con- sequences, like the non-response bias. LÄS MER