Sökning: "network inference"

Visar resultat 11 - 15 av 79 avhandlingar innehållade orden network inference.

1. 11. 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

3. 12. Computational methods for cellular network inference and compound evaluation

   Författare :Kristofer Hallén; Linköpings universitet; []
   Nyckelord :NATURAL SCIENCES; NATURVETENSKAP;

   Sammanfattning : Most diseases are caused by a mixture of environmental and genetic components. The genetic component is mainly inherited but can also induced by the environment. Cancer and cardiovascular diseases are not affected by a single gene but more often by a number of genes a nd also the complex system that the interactions between these genes form. LÄS MER

4. 13. In silico modelling for refining gene regulatory network inference

   Författare :Thomas Hillerton; Erik L. L. Sonnhammer; Richard Bonneau; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Gene regulatory networks; simulation; benchmarking; method development; biokemi med inriktning mot bioinformatik; Biochemistry towards Bioinformatics;

   Sammanfattning : Gene regulation is at the centre of all cellular functions, regulating the cell's healthy and pathological responses. The interconnected system of regulatory interactions is known as the gene regulatory network (GRN), where genes influence each other to maintain strict and robust control. LÄS MER

5. 14. Bayesian networks: exact inference and applications in forensic statistics

   Författare :Ivar Simonsson; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bayesian networks; variable elimination algorithm; forensic statistics; relationship inference; mutation models; relationship inference;

   Sammanfattning : Exact inference on Bayesian networks has been developed through sophisticated algorithms. One of which, the variable elimination algorithm, identifies smaller components of the network, called factors, on which local operations are performed. In principle this algorithm can be used on any Bayesian network. LÄS MER

7. 15. 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