Search for dissertations about: "hidden Markov modeling"

Showing result 1 - 5 of 21 swedish dissertations containing the words hidden Markov modeling.

  2. 1. Hidden Markov models : Identification, control and inverse filtering

    Author : Robert Mattila; Bo Wahlberg; Eric Moulines; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; hidden markov models; system identification; method of moments; inverse filtering; abdominal aortic aneurysm; medical; markov decision process; structure; Electrical Engineering; Elektro- och systemteknik;

    Abstract : The hidden Markov model (HMM) is one of the workhorse tools in, for example, statistical signal processing and machine learning. It has found applications in a vast number of fields, ranging all the way from bioscience to speech recognition to modeling of user interactions in social networks. READ MORE

  4. 2. Hidden Markov models - Traffic modeling and subspace methods

    Author : Sofia Andersson; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; programming; actuarial mathematics; Statistik; operationsanalys; Statistics; operations research; subspace identification; state space representation; likelihood estimation; Poissonification; traffic analysis; hidden Markov model; Markov-modulated Poisson process; programmering; aktuariematematik;

    Abstract : The main motivation for this thesis, however not the only one, is the search for models for traffic in telecommunication networks. Traffic characterization and modeling are of great importance in the analysis and dimensioning of communication systems. During the last decades we have experienced an explosive growth of our telecommunication networks. READ MORE

  5. 3. Bayesian Modeling of Directional Data with Acoustic and Other Applications

    Author : Jalil Taghia; Arne Leijon; W. Bastiaan Kleijn; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Directional statistics; directional distributions; axial distributions; von Mises-Fisher distribution; complex Watson distribution; complex Bingham distribution; Bayesian inference; probabilistic modeling; variational inference; two-dimensional hidden Markov models; Markov chain; blind source separation; frequency domain BSS; underdetermined BSS; online BSS; Bayesian recursive; gene expression data; gene-microarray data; line spectral frequency; speaker identification. ii;

    Abstract : A direction is defined here as a multi-dimensional unit vector. Such unitvectors form directional data. Closely related to directional data are axialdata for which each direction is equivalent to the opposite direction.Directional data and axial data arise in various fields of science. READ MORE

  6. 4. Hidden Markov models for remote protein homology detection

    Author : Markus Wistrand; Karolinska Institutet; Karolinska Institutet; []
    Keywords : Protein classification; hidden Markov model; homology detection; G proteincoupled receptor;

    Abstract : Genome sequencing projects are advancing at a staggering pace and are daily producing large amounts of sequence data. However, the experimental characterization of the encoded genes and proteins is lagging far behind. READ MORE

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

    Author : Ramana Reddy Avula; Tobias J. Oechtering; Daniel Månsson; Mustafa A. Mustafa; KTH; []
    Keywords : 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;

    Abstract : 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. READ MORE