نتائج البحث

Towards end-to-end likelihood-free inference with convolutional neural networks.

• Authors : Radev ST; Institute of Psychology, Heidelberg University, Germany.; Mertens UK

Subjects: Algorithms* ; Bayes Theorem* ; Neural Networks, Computer*

• Source: The British journal of mathematical and statistical psychology [Br J Math Stat Psychol] 2020 Feb; Vol. 73 (1), pp. 23-43. Date of Electronic Publication: 2019 Feb 22.Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 0004047 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Likelihood-Free Inference in High-Dimensional Models.

• Authors : Kousathanas A; Department of Biology and Biochemistry, University of Fribourg, 1700 Fribourg, Switzerland Swiss Institute of Bioinformatics, 1700 Fribourg, Switzerland.; Leuenberger C

Subjects: Models, Genetic*; Drug Resistance, Viral/Drug Resistance, Viral/Drug Resistance, Viral/*genetics; Genetic Fitness

• Source: Genetics [Genetics] 2016 Jun; Vol. 203 (2), pp. 893-904. Date of Electronic Publication: 2016 Apr 06.Publisher: Oxford University Press Country of Publication: United States NLM ID: 0374636 Publication Model: Print-Electronic Cited Medium: Internet

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Using likelihood-free inference to compare evolutionary dynamics of the protein networks of H. pylori and P. falciparum.

• Authors : Ratmann O; Department of Public Health and Epidemiology, Imperial College London, London, United Kingdom. ; Jørgensen O

Subjects: Evolution, Molecular* ; Models, Genetic*; Bacterial Proteins/Bacterial Proteins/Bacterial Proteins/*genetics

• Source: PLoS computational biology [PLoS Comput Biol] 2007 Nov; Vol. 3 (11), pp. e230. Date of Electronic Publication: 2007 Oct 09.Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: Print-Electronic Cited Medium: Internet

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Cophylogeny reconstruction via an approximate Bayesian computation.

• Authors : Baudet C; INRIA Grenoble Rhône-Alpes, 38330 Montbonnot Saint-Martin, France; Université de Lyon, F-69000 Lyon

Subjects: Algorithms* ; Phylogeny*; Classification/Classification/Classification/*methods

• Source: Systematic biology [Syst Biol] 2015 May; Vol. 64 (3), pp. 416-31. Date of Electronic Publication: 2014 Dec 24.Publisher: Oxford University Press Country of Publication: England NLM ID: 9302532 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Estimating between-country migration in pneumococcal populations.

• Authors : Belman S; Parasites and Microbes, Wellcome Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK.; Pesonen H

Subjects: Streptococcus pneumoniae*/Streptococcus pneumoniae*/Streptococcus pneumoniae*/genetics; Humans ; Pneumococcal Infections/Pneumococcal Infections/Pneumococcal Infections/microbiology

• Source: G3 (Bethesda, Md.) [G3 (Bethesda)] 2024 Jun 05; Vol. 14 (6).Publisher: Oxford University Press Country of Publication: England NLM ID: 101566598 Publication Model: Print Cited Medium: Internet ISSN:

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Analyzing Phylogenetic Trees with a Tree Lattice Coordinate System and a Graph Polynomial.

• Authors : Liu P; Department of Mathematics, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada.; Biller P

Subjects: Algorithms* ; Models, Genetic*; Biological Evolution

• Source: Systematic biology [Syst Biol] 2022 Oct 12; Vol. 71 (6), pp. 1378-1390.Publisher: Oxford University Press Country of Publication: England NLM ID: 9302532 Publication Model: Print Cited Medium: Internet ISSN:

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Beyond Drift Diffusion Models: Fitting a Broad Class of Decision and Reinforcement Learning Models with HDDM.

• Authors : Fengler A; Brown University.; Bera K

Subjects: Decision Making* ; Reinforcement, Psychology*; Bayes Theorem

• Source: Journal of cognitive neuroscience [J Cogn Neurosci] 2022 Sep 01; Vol. 34 (10), pp. 1780-1805.Publisher: Published by the MIT Press with the Cognitive Neuroscience Institute Country of Publication: United States NLM ID: 8910747 Publication Model: Print

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Neural networks enable efficient and accurate simulation-based inference of evolutionary parameters from adaptation dynamics.

• Authors : Avecilla G; Department of Biology, New York University, New York, New York, United States of America.; Center for Genomics and Systems Biology, New York University, New York, New York, United States of America.

Subjects: Acclimatization* ; Neural Networks, Computer*; Algorithms

• Source: PLoS biology [PLoS Biol] 2022 May 27; Vol. 20 (5), pp. e3001633. Date of Electronic Publication: 2022 May 27 (Print Publication: 2022).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101183755 Publication Model: eCollection Cited Medium: Internet

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Approximate Bayesian Computation for Discrete Spaces.

• Authors : Auzina IA; Department of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV Amsterdam, The Netherlands.; Tomczak JM

• Source: Entropy (Basel, Switzerland) [Entropy (Basel)] 2021 Mar 06; Vol. 23 (3). Date of Electronic Publication: 2021 Mar 06.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101243874 Publication Model: Electronic Cited Medium: Internet ISSN: 1099-4300

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Fundamentals and Recent Developments in Approximate Bayesian Computation.

• Authors : Lintusaari J; Department of Computer Science, Aalto University, Espoo, Finland.; Helsinki Institute for Information Technology HIIT, Espoo, Finland.

Subjects: Classification* ; Models, Biological* ; Phylogeny*

• Source: Systematic biology [Syst Biol] 2017 Jan 01; Vol. 66 (1), pp. e66-e82.Publisher: Oxford University Press Country of Publication: England NLM ID: 9302532 Publication Model: Print Cited Medium: Internet ISSN:

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