Sökning: "hidden Markov models"
Visar resultat 1 - 5 av 69 avhandlingar innehållade orden hidden Markov models.
1. Hidden Markov models : Identification, control and inverse filtering
Sammanfattning : 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. LÄS MER
2. Hidden Markov Models: Identification, Inverse Filtering and Applications
Sammanfattning : A hidden Markov model (HMM) comprises a state with Markovian dynamics that is hidden in the sense that it can only be observed via a noisy sensor. This thesis considers three themes in relation to HMMs, namely, identification, inverse filtering and applications. LÄS MER
3. Hidden Markov models - Traffic modeling and subspace methods
Sammanfattning : 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. LÄS MER
4. Modelling Allelic and DNA Copy Number Variations using Continuous-index Hidden Markov Models
Sammanfattning : In human cells there are usually two copies of each chromosome, but in cancer cells abnormalities could exist. The differences consist of segments of chromosomes with an altered number of copies. There can be deletions as well as amplifications and the lengths of the segments can also vary. LÄS MER
5. Probabilistic Sequence Models with Speech and Language Applications
Sammanfattning : Series data, sequences of measured values, are ubiquitous. Whenever observations are made along a path in space or time, a data sequence results. To comprehend nature and shape it to our will, or to make informed decisions based on what we know, we need methods to make sense of such data. LÄS MER