Suchergebnisse - "constraint-based algorithms"

Un estudio sobre algoritmos basados en restricciones: objetivos ingeniería de tráfico y calidad de servicio

Autoren: Line Yasmín Becerra Sánchez Jorge Leonardo Bañol Jhon Jairo Padilla Aguilar

Quelle: Entre Ciencia e Ingeniería, Volume: 11, Issue: 21, Pages: 103-111, Published: JUN 2017

Schlagwörter: algoritmos basados en restricciones, calidad de servicio, traffic engineering, enrutamiento, QoS, roteamento, engenharia de tráfego, 02 engineering and technology, constraint based algorithms, algoritmos baseados em restrições, ingeniería de tráfico, qualidade de serviço, routing, 0202 electrical engineering, electronic engineering, information engineering

Dateibeschreibung: text/html

Zugangs-URL: https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/256
http://biblioteca.ucp.edu.co/OJS/index.php/entrecei/article/download/3288/4073
https://biblioteca.ucp.edu.co/OJS/index.php/entrecei/article/view/3288
https://biblioteca.ucp.edu.co/OJS/index.php/entrecei/article/download/3288/4073
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S1909-83672017000100103
https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/download/256/247
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S1909-83672017000100103&lng=en&tlng=en

Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets

Autoren: Vincenzo Lagani Giorgos Athineou Alessio Farcomeni et al.

Quelle: Journal of Statistical Software, Vol 80, Iss 1, Pp 1-25 (2017)

Schlagwörter: feature selection, constraint-based algorithms, multiple predictive signatures, Statistics, HA1-4737

Dateibeschreibung: electronic resource

Relation: https://www.jstatsoft.org/index.php/jss/article/view/2371; https://doaj.org/toc/1548-7660

Zugangs-URL: https://doaj.org/article/e7c7f70721174755ba7d1178724a5b53

Learning Bayesian Networks with the bnlearn R Package

Autoren: Marco Scutari

Quelle: Journal of Statistical Software, Vol 35, Iss 03 (2010)

Schlagwörter: bayesian networks, structure learning algorithms, constraint-based algorithms, score-based algorithms, conditional independence tests, Statistics, HA1-4737

Dateibeschreibung: electronic resource

Relation: http://www.jstatsoft.org/v35/i03/paper; https://doaj.org/toc/1548-7660

Zugangs-URL: https://doaj.org/article/f805c60dbda946bca98692c5de886b49

Learning Bayesian Networks with thebnlearnRPackage

Autoren: Scutari, M

Quelle: Journal of Statistical Software, Vol 35, Iss 03 (2010)
Journal of Statistical Software; Vol 35 (2010); 1-22

Schlagwörter: FOS: Computer and information sciences, 0301 basic medicine, 0303 health sciences, score-based algorithms, Statistics, Machine Learning (stat.ML), structure learning algorithms, conditional independence tests, HA1-4737, 03 medical and health sciences, Statistics - Machine Learning, bayesian networks, constraint-based algorithms

Dateibeschreibung: PB

Zugangs-URL: https://www.jstatsoft.org/index.php/jss/article/view/v035i03/v35i03.pdf
http://arxiv.org/abs/0908.3817
https://doaj.org/article/f805c60dbda946bca98692c5de886b49
https://www.jstatsoft.org/index.php/jss/article/view/v035i03
https://EconPapers.repec.org/RePEc:jss:jstsof:v:035:i03
https://ideas.repec.org/a/jss/jstsof/v035i03.html
https://repository.globethics.net/handle/20.500.12424/2468437
http://discovery.ucl.ac.uk/id/eprint/1305736
https://core.ac.uk/download/pdf/6303132.pdf
https://www.jstatsoft.org/article/view/v035i03
https://ora.ox.ac.uk/objects/uuid:67bda323-26f4-4cf9-bdba-edee6e1f8a0f

SIASAR conceptual model v1 outputs obtained from Nicaragua and Honduras databases (last accessed: December 21, 2016)

Autoren: Pérez-Foguet, Agustí Requejo-Castro, David Giné-Garriga, Ricard et al.

Schlagwörter: Bayesian networks, SIASAR, WaSH, decision-making, information systems, rural areas, water and sanitation services, Nicaragua, Honduras, R-studio, Constraint-based algorithms

Relation: https://zenodo.org/communities/escgd/; https://zenodo.org/records/804010; oai:zenodo.org:804010; https://doi.org/10.5281/zenodo.804010

Verfügbarkeit: https://doi.org/10.5281/zenodo.804010
https://zenodo.org/records/804010

Parallel Algorithms and Generalized Frameworks for Learning Large-Scale Bayesian Networks

Autoren: Srivastava, Ankit Aluru, Srinivas Catalyurek, Umit V et al.

Weitere Verfasser: Srivastava, Ankit Aluru, Srinivas Catalyurek, Umit V et al.

Schlagwörter: Parallel algorithms, Parallel machine learning, Bayesian networks, Constraint-based algorithms, Score-based algorithms, Module networks, Gene networks

Dateibeschreibung: application/pdf

Relation: http://hdl.handle.net/1853/66051

Verfügbarkeit: http://hdl.handle.net/1853/66051

Learning Bayesian networks with the bnlearn R package

Autoren: Marco Scutari The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Marco Scutari The Pennsylvania State University CiteSeerX Archives

Quelle: http://arxiv.org/pdf/0908.3817v1.pdf.

Schlagwörter: bayesian networks, structure learning algorithms, constraint-based algorithms, score-based

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.249.9447; http://arxiv.org/pdf/0908.3817v1.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.249.9447
http://arxiv.org/pdf/0908.3817v1.pdf