Avancerad sökning

Hittade 5 avhandlingar som matchar ovanstående sökkriterier.

  1. 1. Module identification in dynamic networks: parametric and empirical Bayes methods

    Författare :Niklas Everitt; Håkan Hjalmarsson; Cristian R. Rojas; Paul Van den Hof; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : The purpose of system identification is to construct mathematical models of dynamical system from experimental data. With the current trend of dynamical systems encountered in engineering growing ever more complex, an important task is to efficiently build models of these systems. LÄS MER

  3. 2. Parameter Estimation : Towards Data-Driven and Privacy Preserving Approaches

    Författare :Braghadeesh Lakshminarayanan; Cristian R. Rojas; Simone Garatti; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Parameter estimation; System identification;

    Sammanfattning : Parameter estimation is a pivotal task across various domains such as system identification, statistics, and machine learning. The literature presents numerous estimation procedures, many of which are backed by well-studied asymptotic properties. LÄS MER

  4. 3. Classification models for high-dimensional data with sparsity patterns

    Författare :Annika Tillander; Tatjana Pavlenko; Daniel Thorburn; Patrik Ryden; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; High-dimensionality; supervised classification; classification accuracy; sparse; block-diagonal covariance structure; graphical Lasso; separation strength; discretization; Statistics; statistik;

    Sammanfattning : Today's high-throughput data collection devices, e.g. spectrometers and gene chips, create information in abundance. However, this poses serious statistical challenges, as the number of features is usually much larger than the number of observed units. LÄS MER

  5. 4. Determination of stellar ages and star formation histories - a Bayesian approach With an application to nearby F and G stars

    Författare :Bjarne Rosenkilde Jørgensen; Astronomi - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Astronomi; Astronomy; Galaxy evolution; Statistical methods; Stellar evolution; Data analysis;

    Sammanfattning : In order to understand the formation and evolution of the Galaxy it is imperative to know when different components formed. This means at the most basic level that we need to know the ages of stars. The present work demonstrates the many problems inherent in determining the ages of stars through comparison with stellar evolutionary models. LÄS MER

  7. 5. Perspectives of Deep Learning for Neonatal Sepsis Detection

    Författare :Antoine Honoré; Saikat Chatterjee; Eric Herlenius; Guy Carrault; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Deep Learning; Neonatal Sepsis Detection; Normalizing Flows; Hidden Markov Models.; Djupinlärningsmodeller; Neonatal Sepsis detektion; Normaliserande Flöden; Dolda Markov modellerna.;

    Sammanfattning : Newborns, whether born at term or preterm, are highly vulnerable and face life-threatening situations during their initial weeks of life every year. Even with hospitalization in a neonatal intensive care unit (NICU) and careful clinical monitoring, identifying infection-related incidents like sepsis is a challenging task. LÄS MER