skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Results 1 - 20 of 7,502  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 4 5 next page
Show only
Refined by: subject: Algorithms remove
Result Number Material Type Add to My Shelf Action Record Details and Options
1
explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
Material Type:
Article 		Add to My Research

explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2011-09, Vol.73 (4), p.423-498 [Peer Reviewed Journal]

Copyright © 2011 The Royal Statistical Society and Blackwell Publishing Ltd. ;2011 Royal Statistical Society ;2015 INIST-CNRS ;ISSN: 1369-7412 ;EISSN: 1467-9868 ;DOI: 10.1111/j.1467-9868.2011.00777.x

Full text available

Citations Cited by
2
Operator learning for predicting multiscale bubble growth dynamics
Operator learning for predicting multiscale bubble growth dynamics
Material Type:
Article 		Add to My Research

Operator learning for predicting multiscale bubble growth dynamics

The Journal of chemical physics, 2021-03, Vol.154 (10), p.104118-104118 [Peer Reviewed Journal]

Author(s) ;2021 Author(s). Published under license by AIP Publishing. ;ISSN: 0021-9606 ;EISSN: 1089-7690 ;DOI: 10.1063/5.0041203 ;PMID: 33722055 ;CODEN: JCPSA6

Full text available

Citations Cited by
3
A general framework for quantitatively assessing ecological stochasticity
A general framework for quantitatively assessing ecological stochasticity
Material Type:
Article 		Add to My Research

A general framework for quantitatively assessing ecological stochasticity

Proceedings of the National Academy of Sciences - PNAS, 2019-08, Vol.116 (34), p.16892-16898 [Peer Reviewed Journal]

Copyright National Academy of Sciences Aug 20, 2019 ;2019 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1904623116 ;PMID: 31391302

Full text available

Citations Cited by
4
L1 Penalized Estimation in the Cox Proportional Hazards Model
L1 Penalized Estimation in the Cox Proportional Hazards Model
Material Type:
Article 		Add to My Research

L1 Penalized Estimation in the Cox Proportional Hazards Model

Biometrical journal, 2010-02, Vol.52 (1), p.70-84 [Peer Reviewed Journal]

Copyright © 2010 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim ;2015 INIST-CNRS ;ISSN: 0323-3847 ;EISSN: 1521-4036 ;DOI: 10.1002/bimj.200900028 ;PMID: 19937997 ;CODEN: BIJODN

Full text available

Citations Cited by
5
Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data
Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data
Material Type:
Article 		Add to My Research

Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data

Nature methods, 2019-03, Vol.16 (3), p.243-245 [Peer Reviewed Journal]

2019© The Author(s), under exclusive licence to Springer Nature America, Inc. 2019 ;ISSN: 1548-7091 ;EISSN: 1548-7105 ;DOI: 10.1038/s41592-018-0308-4 ;PMID: 30742040

Full text available

Citations Cited by
6
On-line inference for multiple changepoint problems
On-line inference for multiple changepoint problems
Material Type:
Article 		Add to My Research

On-line inference for multiple changepoint problems

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2007-09, Vol.69 (4), p.589-605 [Peer Reviewed Journal]

Copyright 2007 The Royal Statistical Society and Blackwell Publishing Ltd. ;2007 INIST-CNRS ;2007 Royal Statistical Society ;ISSN: 1369-7412 ;EISSN: 1467-9868 ;DOI: 10.1111/j.1467-9868.2007.00601.x

Full text available

Citations Cited by
7
Model selection and estimation in regression with grouped variables
Model selection and estimation in regression with grouped variables
Material Type:
Article 		Add to My Research

Model selection and estimation in regression with grouped variables

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2006-02, Vol.68 (1), p.49-67 [Peer Reviewed Journal]

Copyright 2006 The Royal Statistical Society and Blackwell Publishing Ltd. ;2006 INIST-CNRS ;2006 Royal Statistical Society ;ISSN: 1369-7412 ;EISSN: 1467-9868 ;DOI: 10.1111/j.1467-9868.2005.00532.x

Full text available

Citations Cited by
8
Cooperating with machines
Cooperating with machines
Material Type:
Article 		Add to My Research

Cooperating with machines

Nature communications, 2018-01, Vol.9 (1), p.233-12, Article 233 [Peer Reviewed Journal]

2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2018 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-017-02597-8 ;PMID: 29339817

Full text available

Citations Cited by
9
Global kriging surrogate modeling for general time-variant reliability-based design optimization problems
Global kriging surrogate modeling for general time-variant reliability-based design optimization problems
Material Type:
Article 		Add to My Research

Global kriging surrogate modeling for general time-variant reliability-based design optimization problems

Structural and multidisciplinary optimization, 2018-09, Vol.58 (3), p.955-968 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2018 ;Copyright Springer Science & Business Media 2018 ;Structural and Multidisciplinary Optimization is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 1615-147X ;EISSN: 1615-1488 ;DOI: 10.1007/s00158-018-1938-y

Full text available

Citations Cited by
10
A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods
A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods
Material Type:
Article 		Add to My Research

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

IEEE transactions on signal processing, 2023, Vol.71, p.2043-2055 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1053-587X ;EISSN: 1941-0476 ;DOI: 10.1109/tsp.2023.3282062

Digital Resources/Online E-Resources

Citations Cited by
11
Inverse stochastic resonance in networks of spiking neurons
Inverse stochastic resonance in networks of spiking neurons
Material Type:
Article 		Add to My Research

Inverse stochastic resonance in networks of spiking neurons

PLoS computational biology, 2017-07, Vol.13 (7), p.e1005646-e1005646 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Uzuntarla M, Barreto E, Torres JJ (2017) Inverse stochastic resonance in networks of spiking neurons. PLoS Comput Biol 13(7): e1005646. https://doi.org/10.1371/journal.pcbi.1005646 ;2017 Uzuntarla et al 2017 Uzuntarla et al ;2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Uzuntarla M, Barreto E, Torres JJ (2017) Inverse stochastic resonance in networks of spiking neurons. PLoS Comput Biol 13(7): e1005646. https://doi.org/10.1371/journal.pcbi.1005646 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005646 ;PMID: 28692643

Full text available

Citations Cited by
12
TFHE: Fast Fully Homomorphic Encryption Over the Torus
TFHE: Fast Fully Homomorphic Encryption Over the Torus
Material Type:
Article 		Add to My Research

TFHE: Fast Fully Homomorphic Encryption Over the Torus

Journal of cryptology, 2020-01, Vol.33 (1), p.34-91 [Peer Reviewed Journal]

Attribution ;ISSN: 0933-2790 ;EISSN: 1432-1378 ;DOI: 10.1007/s00145-019-09319-x

Digital Resources/Online E-Resources

Citations Cited by
13
New insights and best practices for the successful use of Empirical Mode Decomposition, Iterative Filtering and derived algorithms
New insights and best practices for the successful use of Empirical Mode Decomposition, Iterative Filtering and derived algorithms
Material Type:
Article 		Add to My Research

New insights and best practices for the successful use of Empirical Mode Decomposition, Iterative Filtering and derived algorithms

Scientific reports, 2020-09, Vol.10 (1), p.15161-15161, Article 15161 [Peer Reviewed Journal]

The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-020-72193-2 ;PMID: 32939024

Full text available

Citations Cited by
14
Functional clustering and identifying substructures of longitudinal data
Functional clustering and identifying substructures of longitudinal data
Material Type:
Article 		Add to My Research

Functional clustering and identifying substructures of longitudinal data

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2007-09, Vol.69 (4), p.679-699 [Peer Reviewed Journal]

Copyright 2007 The Royal Statistical Society and Blackwell Publishing Ltd. ;2007 INIST-CNRS ;2007 Royal Statistical Society ;ISSN: 1369-7412 ;EISSN: 1467-9868 ;DOI: 10.1111/j.1467-9868.2007.00605.x

Full text available

Citations Cited by
15
Stochastic Simulation of Biomolecular Networks in Dynamic Environments
Stochastic Simulation of Biomolecular Networks in Dynamic Environments
Material Type:
Article 		Add to My Research

Stochastic Simulation of Biomolecular Networks in Dynamic Environments

PLoS computational biology, 2016-06, Vol.12 (6), p.e1004923-e1004923 [Peer Reviewed Journal]

COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Voliotis M, Thomas P, Grima R, Bowsher CG (2016) Stochastic Simulation of Biomolecular Networks in Dynamic Environments. PLoS Comput Biol 12(6): e1004923. doi:10.1371/journal.pcbi.1004923 ;2016 Voliotis et al 2016 Voliotis et al ;2016 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Voliotis M, Thomas P, Grima R, Bowsher CG (2016) Stochastic Simulation of Biomolecular Networks in Dynamic Environments. PLoS Comput Biol 12(6): e1004923. doi:10.1371/journal.pcbi.1004923 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1004923 ;PMID: 27248512

Full text available

Citations Cited by
16
A pathwise derivative approach to the computation of parameter sensitivities in discrete stochastic chemical systems
A pathwise derivative approach to the computation of parameter sensitivities in discrete stochastic chemical systems
Material Type:
Article 		Add to My Research

A pathwise derivative approach to the computation of parameter sensitivities in discrete stochastic chemical systems

The Journal of chemical physics, 2012-01, Vol.136 (3), p.034115-034115-13 [Peer Reviewed Journal]

2012 American Institute of Physics ;Copyright © 2012 American Institute of Physics 2012 American Institute of Physics ;ISSN: 0021-9606 ;EISSN: 1089-7690 ;DOI: 10.1063/1.3677230 ;PMID: 22280752 ;CODEN: JCPSA6

Full text available

Citations Cited by
17
Perspective: Stochastic algorithms for chemical kinetics
Perspective: Stochastic algorithms for chemical kinetics
Material Type:
Article 		Add to My Research

Perspective: Stochastic algorithms for chemical kinetics

The Journal of chemical physics, 2013-05, Vol.138 (17), p.170901-170901 [Peer Reviewed Journal]

Copyright © 2013 AIP Publishing LLC 2013 AIP Publishing LLC ;ISSN: 0021-9606 ;EISSN: 1089-7690 ;DOI: 10.1063/1.4801941 ;PMID: 23656106

Full text available

Citations Cited by
18
Pressure control using stochastic cell rescaling
Pressure control using stochastic cell rescaling
Material Type:
Article 		Add to My Research

Pressure control using stochastic cell rescaling

The Journal of chemical physics, 2020-09, Vol.153 (11), p.114107-114107 [Peer Reviewed Journal]

Author(s) ;2020 Author(s). Published under license by AIP Publishing. ;ISSN: 0021-9606 ;EISSN: 1089-7690 ;DOI: 10.1063/5.0020514 ;PMID: 32962386 ;CODEN: JCPSA6

Full text available

Citations Cited by
19
Stochastic block models: A comparison of variants and inference methods
Stochastic block models: A comparison of variants and inference methods
Material Type:
Article 		Add to My Research

Stochastic block models: A comparison of variants and inference methods

PloS one, 2019-04, Vol.14 (4), p.e0215296 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Funke, Becker 2019 Funke, Becker ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0215296 ;PMID: 31013290

Full text available

Citations Cited by
20
The Performance of Risk Prediction Models
The Performance of Risk Prediction Models
Material Type:
Article 		Add to My Research

The Performance of Risk Prediction Models

Biometrical journal, 2008-08, Vol.50 (4), p.457-479 [Peer Reviewed Journal]

Copyright © 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim ;2008 INIST-CNRS ;(c) 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim ;ISSN: 0323-3847 ;EISSN: 1521-4036 ;DOI: 10.1002/bimj.200810443 ;PMID: 18663757 ;CODEN: BIJODN

Full text available

Citations Cited by

Results 1 - 20 of 7,502  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 4 5 next page

Personalize your results

  1. Edit

Refine Search Results

Expand My Results

  1.   

Show only

  1. Peer-reviewed Journals (5,598)

Refine My Results

New Records 

  1. New From Last Month  (12)
  2. New From Last 3 Month  (35)
  3. More options open sub menu

Language 

  1. English  (7,493)
  2. Japanese  (575)
  3. French  (19)
  4. German  (13)
  5. Spanish  (8)
  6. Portuguese  (7)
  7. Norwegian  (4)
  8. Chinese  (3)
  9. Russian  (2)
  10. Czech  (2)
  11. Slovak  (1)
  12. Dutch  (1)
  13. More options open sub menu
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait