Sökning: "multiple inference"

Visar resultat 1 - 5 av 80 avhandlingar innehållade orden multiple inference.

1. 1. Bayesian Phylogenetic Inference

   Författare :Sebastian Höhna; Tom Britton; Fredrik Ronquist; Lars Arvestad; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : In this thesis we consider two very different topics in Bayesian phylogenetic inference. The first paper, "Inferring speciation and extinction rates under different sampling schemes" by Sebastian Höhna, Tanja Stadler, Fredrik Ronquist and Tom Britton, focuses on estimating the rates of speciation and extinction of species when only a subsample of the present day species is available. LÄS MER

3. 2. Visual Object Tracking and Classification Using Multiple Sensor Measurements

   Författare :Yixiao Yun; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; sensor fusion; Riemannian manifold; visual pattern classification; multiple view geometry; Visual object tracking; boosting; multiple sensor measurement;

   Sammanfattning : Multiple sensor measurement has gained in popularity for computer vision tasks such as visual object tracking and visual pattern classification. The main idea is that multiple sensors may provide rich and redundant information, due to wide spatial or frequency coverage of the scene, which is advantageous over single sensor measurement in learning object model/feature and inferring target state/attribute in complex scenarios. LÄS MER

4. 3. Statistical inference with deep latent variable models

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

   Sammanfattning : 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. LÄS MER

5. 4. Two Optimization Problems in Genetics : Multi-dimensional QTL Analysis and Haplotype Inference

   Författare :Carl Nettelblad; Sverker Holmgren; José M. Álvarez-Castro; Jukka Corander; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; quantitative trait loci; genome-wide association studies; hidden Markov models; numerical optimization; linkage analysis; haplotype inference; genotype imputation; high performance computing;

   Sammanfattning : The existence of new technologies, implemented in efficient platforms and workflows has made massive genotyping available to all fields of biology and medicine. Genetic analyses are no longer dominated by experimental work in laboratories, but rather the interpretation of the resulting data. LÄS MER

7. 5. Bayesian Inference for Microwave Diagnostics at Joint European Torus

   Författare :Stefan Schmuck; Per Brunsell; Thomas Jonsson; Jakob Svensson; Laurie Porte; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; ECE; Bayesian; Fourier transform; spectroscopy; joint inference; length-scale; Gaussian process; microwave diagnostic; JET; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : The major goal of this thesis is to perform Bayesian inference jointly for electron kinetic profiles, a toroidal magnetic field correction, diagnostic sensitivities, and wall reflection properties given noisy measurements of four microwave diagnostics at the tokamak JET. Besides the measurements, this kind of inference considers prior knowledge, like profile length-scales, to update objectively the information about the physics parameters. LÄS MER