Search for dissertations about: "variational inference"

Showing result 1 - 5 of 19 swedish dissertations containing the words variational inference.

  2. 1. Variational Inference of Dynamic Factor Models

    Author : Erik Spånberg; Pär Stockhammar; Gebrenegus Ghilagaber; Sune Karlsson; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; dynamic factor models; variational inference; missing data; nowcasting; expectation maximization; statistik; Statistics;

    Abstract : When we make difficult and crucial decisions, forecasts are powerful and important tools. For that purpose, statistical models can be our most effective aid. Ideally, these models can incorporate large sets of multifaceted data. READ MORE

  4. 2. Variational methods for phylogeny and single-cell genomics

    Author : Hazal Koptagel; Jens Lagergren; Alexandre Bouchard-Côté; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Variational inference; single-cell DNA sequencing; cell lineage tree; Bayesian phylogenetic tree inference; Variationsinferens; encellig DNA-sekvensering; cellhärkomstträd; Bayesiansk fylogenetisk trädinferens; Varyasyonel çıkarım; tek hücre DNA dizilimi; hücre soy ağacı; Bayesçi filogenetik ağaç çıkarımı; Datalogi; Computer Science;

    Abstract : The investigation of the evolutionary history of organisms, both at the cellular level and at the species level, is a relevant research topic in computational biology. These investigations lead to a deeper understanding of developmental history, cancer progression, the genetic similarity of species, and more. READ MORE

  5. 3. Machine learning using approximate inference : Variational and sequential Monte Carlo methods

    Author : Christian Andersson Naesseth; Thomas Schön; Fredrik Lindsten; Iain Murray; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : Automatic decision making and pattern recognition under uncertainty are difficult tasks that are ubiquitous in our everyday life. The systems we design, and technology we develop, requires us to coherently represent and work with uncertainty in data. READ MORE

  6. 4. Statistical inference with deep latent variable models

    Author : Najmeh Abiri; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Deep Learning; Generative Models; Variational Inference; Missing data; Imputation; Fysicumarkivet A:2019:Abiri;

    Abstract : Finding a suitable way to represent information in a dataset is one of the fundamental problems in Artificial Intelligence. With limited labeled information, unsupervised learning algorithms help to discover useful representations. READ MORE

  7. 5. 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