Sökning: "Hidden Markov models"

Visar resultat 11 - 15 av 69 avhandlingar innehållade orden Hidden Markov models.

  1. 11. Perspectives on Probabilistic Graphical Models

    Författare :Dong Liu; Ragnar Thobaben; Harri Lähdesmäki; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Bayesian methods; graphical models; inference; learning; statistics; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Probabilistic graphical models provide a natural framework for the representation of complex systems and offer straightforward abstraction for the interactions within the systems. Reasoning with help of probabilistic graphical models allows us to answer inference queries with uncertainty following the framework of probability theory. LÄS MER

  3. 12. Structural Information and Hidden Markov Models for Biological Sequence Analysis

    Författare :Jeanette Tångrot; Bo Kågström; Uwe H. Sauer; Erik Sonnhammer; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; HMM; structure alignment; protein structure; secondary structure; remote homologue; annotation; domain family; protein family; protein superfamily; protein fold recognition; Bioinformatics; Bioinformatik;

    Sammanfattning : Bioinformatics is a fast-developing field, which makes use of computational methods to analyse and structure biological data. An important branch of bioinformatics is structure and function prediction of proteins, which is often based on finding relationships to already characterized proteins. LÄS MER

  4. 13. EM Estimation in Phase Type Models

    Författare :Marita Olsson; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; phase type distributions; coxian distribution; EM algorithm; I-divergence; density estimation; right censoring; interval censoring; standard error estimation; asymptotic theory; jackknife; relapse clinical trials; survival data; hidden Markov chain; I-divergence;

    Sammanfattning : This thesis consists of four articles whose theme in common is the class of phase type distributions. In the first article an EM algorithm is presented to estimate the parameters of a phase type distribution of fixed order. Also, it is shown that the algorithm can be used to approximate other continuous distributions by phase type distributions. LÄS MER

  5. 14. 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

  7. 15. Towards Realistic Smart Meter Privacy against Bayesian Inference

    Författare :Ramana Reddy Avula; Tobias J. Oechtering; Daniel Månsson; Mustafa A. Mustafa; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Smart meter privacy; Bayesian inference control; Energy storage model; Data-driven modeling; Privacy-enhancing mechanisms; Hidden Markov models; Co-living household energy dataset; Integritet för smarta elmätare; bayesiansk slutledningskontroll; energilagringsmodell; datadriven modellering; sekretessförbättrande mekanismer; dolda Markov-modeller; samlevande energidataset för hushåll; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Smart meters, now an essential component of modern power grids, allow energy providers to remotely monitor users' energy consumption in near real-time. While this technology offers numerous advantages for energy management and system efficiency, it also poses significant privacy concerns. LÄS MER