Výsledky vyhledávání - "constraint-based algorithms"

A Two-Stage Approach Combining Constraint-Based Algorithms and Gaussian Process Regression for Estimation of Cruise Ship Hotel Loads

Autoři: Alexander Micallef Maurice Apap John Licari a další

Zdroj: 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON). :750-755

A Worst-Case Analysis of Constraint-Based Algorithms for Exact Multi-objective Combinatorial Optimization

Autoři: Krzysztof Czarnecki Peter van Beek Jianmei Guo a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783319573502

Forward Constraint-Based Algorithms for Anytime Planning

Autoři: Cédric Pralet Gérard Verfaillie

Zdroj: Proceedings of the International Conference on Automated Planning and Scheduling. 19:265-272

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Constraint-based algorithms for computing clique intersection joins

Autoři: Dimitris Papadias Nikos Mamoulis

Zdroj: Proceedings of the 6th ACM international symposium on Advances in geographic information systems. :118-123

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://repository.ust.hk/dspace/bitstream/1783.1/307/1/acmgis98.pdf
http://core.ac.uk/display/20819095
https://dl.acm.org/doi/10.1145/288692.288714
https://repository.ust.hk/ir/Record/1783.1-307
https://repository.ust.hk/ir/bitstream/1783.1-307/1/acmgis98.pdf
https://dblp.uni-trier.de/db/conf/gis/gis98.html#MamoulisP98

A two-stage approach combining constraint-based algorithms and gaussian process regression for estimation of cruise ship hotel loads

Autoři: Micallef, Alexander Apap, Maurice Licari, John a další

Témata: Electric power distribution, Cruise ships, Machine learning, Renewable energy sources, Harbors -- Environmental aspects

Relation: https://www.um.edu.mt/library/oar/handle/123456789/131222

Dostupnost: https://www.um.edu.mt/library/oar/handle/123456789/131222

Deconstructing the energy landscape: Constraint-based algorithms for folding heteropolymers

Autoři: Ivan Rankenburg Veit Elser

Zdroj: Physical Review E. 73

Témata: Quantitative Biology - Biomolecules, FOS: Biological sciences, Biomolecules (q-bio.BM), Quantitative Biology - Quantitative Methods, Quantitative Methods (q-bio.QM)

Přístupová URL adresa: http://arxiv.org/pdf/q-bio/0505047
https://pubmed.ncbi.nlm.nih.gov/16605478
http://arxiv.org/abs/q-bio/0505047
https://arxiv.org/abs/q-bio/0505047v1
https://arxiv.org/pdf/q-bio/0505047
https://ui.adsabs.harvard.edu/abs/2006PhRvE..73b6702E/abstract
https://www.ncbi.nlm.nih.gov/pubmed/16605478
https://link.aps.org/doi/10.1103/PhysRevE.73.026702

Constraint-based algorithms for computing clique intersection joins

Autoři: Mamoulis, Nikos Papadias, Dimitris

Témata: Geographic information systems, Satellite navigation systems, Algorithms, Intersections, Computation, Conference paper

URL: http://repository.ust.hk/ir/Record/1783.1-307
http://repository.ust.hk/ir/bitstream/1783.1-307/1/acmgis98.pdf

INVESTIGATION OF THE IMPACTS OF CONSTRAINT-BASED ALGORITHMS TO THE QUALITY OF BAYESIAN NETWORK STRUCTURE IN HYBRID ALGORITHMS FOR MEDICAL STUDIES.

Autoři: Dünder, Emre Cengiz, Mehmet Ali Koç, Haydar

Zdroj: Journal of Advanced Scientific Research. Feb2014, Vol. 5 Issue 1, p08-12. 5p.

Témata: *BAYESIAN analysis, *STATISTICAL decision making, *MEDICAL literature, *MEDICAL research, *MEDICAL ethics

Constraint-based Algorithms for Computing Clique Intersection Joins

Autoři: Nikos Mamoulis The Pennsylvania State University CiteSeerX Archives

Přispěvatelé: Nikos Mamoulis The Pennsylvania State University CiteSeerX Archives

Zdroj: http://repository.ust.hk/dspace/bitstream/1783.1/307/1/acmgis98.pdf.

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.116.2189; http://repository.ust.hk/dspace/bitstream/1783.1/307/1/acmgis98.pdf

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.116.2189
http://repository.ust.hk/dspace/bitstream/1783.1/307/1/acmgis98.pdf

An Experimental Comparison of Constraint-Based Algorithms for the Preemptive Job-Shop Scheduling Problem

Autoři: Claude Le Pape Philippe Baptiste The Pennsylvania State University CiteSeerX Archives

Přispěvatelé: Claude Le Pape Philippe Baptiste The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.hds.utc.fr/~baptiste/cp97s.ps.

Popis souboru: application/postscript

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.9870; http://www.hds.utc.fr/~baptiste/cp97s.ps

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.9870
http://www.hds.utc.fr/~baptiste/cp97s.ps

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

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

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

Témata: 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

Popis souboru: text/html

Přístupová URL adresa: 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

Constraint-based Algorithms in Java: the JCL

Autoři: Torrens, Marc Weigel, Rainer Faltings, Boi

Relation: Working Notes of the Swiss Workshop on Collaborative and Distributed Systems; https://infoscience.epfl.ch/handle/20.500.14299/238186

Dostupnost: https://infoscience.epfl.ch/handle/20.500.14299/238186
https://hdl.handle.net/20.500.14299/238186

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

Autoři: Vincenzo Lagani Giorgos Athineou Alessio Farcomeni a další

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/e7c7f70721174755ba7d1178724a5b53

CURATE : Scaling-Up Differentially Private Causal Graph Discovery.

Autoři: Bhattacharjee, Payel Tandon, Ravi

Zdroj: Entropy; Nov2024, Vol. 26 Issue 11, p946, 22p

Témata: ERROR probability, PRIVACY, ALGORITHMS, LEAKAGE, NOISE

Neural Network Feature Selection Based on Collaborative Filtering Recommender Systems for User Classification.

Autoři: Anaam, Elham Abdulwahab Su-Cheng Haw Kok-Why Ng a další

Zdroj: Fusion: Practice & Applications; 2024, Vol. 15 Issue 2, p155-164, 10p

Témata: RECOMMENDER systems, FEATURE selection, MACHINE learning, INDIVIDUAL needs, ALGORITHMS

Learning Bayesian Networks with the bnlearn R Package

Autoři: Marco Scutari

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/f805c60dbda946bca98692c5de886b49

Learning Bayesian Networks with thebnlearnRPackage

Autoři: Scutari, M

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

Témata: 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

Popis souboru: PB

Přístupová URL adresa: 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

The impact of variable ordering on Bayesian network structure learning.

Autoři: Kitson, Neville K. Constantinou, Anthony C.

Zdroj: Data Mining & Knowledge Discovery; Jul2024, Vol. 38 Issue 4, p2545-2569, 25p

Témata: MACHINE learning, BAYESIAN analysis, SAMPLE size (Statistics), ALGORITHMS

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

Autoři: Pérez-Foguet, Agustí Requejo-Castro, David Giné-Garriga, Ricard a další

Témata: 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

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

Construction of resilient and sustainable supply chain based on multilayer Bayesian network.

Autoři: Lu, Jie Wu, Desheng Dolgui, Alexandre

Zdroj: International Journal of Production Research; Dec2025, Vol. 63 Issue 23, p8984-9008, 25p