Foto af Thomas Dyhre Nielsen
  • Selma Lagerløfs Vej 300, 1-2-34

    9220 Aalborg Ø

    Danmark

  • Selma Lagerlöfs Vej 300, Cassiopeia

    9220 Aalborg

    Danmark

19972019
Hvis du har foretaget ændringer i Pure, vil de snart blive vist her.

Publikationer 1999 2019

2019

AMIDST: A Java toolbox for scalable probabilistic machine learning

Masegosa, A., Martinez, A. M., Ramos-López, D., Cabanas de Paz, R., Salmerón, A., Langseth, H., Nielsen, T. D. & Madsen, A. L., 1 jan. 2019, I : Knowledge-Based Systems. 163, s. 595-597 3 s.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Learning systems
Message passing
Probability distributions
Java
Machine learning
2018
1 Citation (Scopus)

Adaptive User-Oriented Direct Load-Control of Residential Flexible Devices

Frazzetto, D., Neupane, B., Pedersen, T. B. & Nielsen, T. D., 12 jun. 2018, e-Energy 2018 - Proceedings of the 9th ACM International Conference on Future Energy Systems. Association for Computing Machinery, s. 1-11 11 s.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Quality of service
Scheduling
Energy utilization
Uncertainty
50 Downloads (Pure)

A Review of Inference Algorithms for Hybrid Bayesian Networks

Salmerón, A., Rumí, R., Langseth, H., Nielsen, T. D. & Madsen, A. L., 1 aug. 2018, I : Journal of Artificial Intelligence Research. 62, s. 799-828 30 s.

Publikation: Bidrag til tidsskriftReview (oversigtsartikel)Forskningpeer review

Åben adgang
Fil
Bayesian networks
Costs

On Network Embedding for Machine Learning on Road Networks: A Case Study on the Danish Road Network

Jepsen, T. S., Jensen, C. S., Nielsen, T. D. & Torp, K., 2018, Proceedings of the 2018 IEEE International Conference on Big Data. IEEE, s. 3421-3430 10 s.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Learning systems
Availability
1 Citation (Scopus)

Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks

Ramos-López, D., Masegosa, A., Salmerón, A., Rumí, R., Langseth, H., Nielsen, T. D. & Madsen, A. L., 1 sep. 2018, I : International Journal of Approximate Reasoning. 100, s. 115-134 20 s., 100.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Importance sampling
Gaussian Mixture
Importance Sampling
Bayesian networks
Bayesian Networks
2017
16 Citationer (Scopus)
34 Downloads (Pure)

A parallel algorithm for Bayesian network structure learning from large data sets

Madsen, A. L., Jensen, F., Salmerón, A., Langseth, H. & Nielsen, T. D., 2017, I : Knowledge-Based Systems. 117, s. 46-55

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Åben adgang
Fil

Bayesian models of data streams with Hierarchical Power Priors

Masegosa, A., Nielsen, T. D., Langseth, H., Ramos-López, D., Salmerón, A. & Madsen, A. L., 2017, Proceedings of the 34th International Conference on Machine Learning. Bind 70. s. 2334-2343

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Åben adgang
Computational efficiency
3 Citationer (Scopus)

Financial Data Analysis with PGMs Using AMIDST

Cabanas, R., Martinez, A. M., Masegosa, A. R., Ramos-Lopez, D., Sameron, A., Nielsen, T. D., Langseth, H. & Madsen, A. L., 30 jan. 2017, Proceedings - 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016. IEEE, s. 1284-1287 4 s. 7836816

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Economics
2 Citationer (Scopus)
37 Downloads (Pure)

MAP inference in dynamic hybrid Bayesian networks

Ramos-López, D., Masegosa, A., Martinez, A. M., Salmerón, A., Nielsen, T. D., Langseth, H. & Madsen, A. L., 2017, I : Progress in Artificial Intelligence. 6, 2, s. 133–144 12 s.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Åben adgang
Fil
5 Citationer (Scopus)

Scaling up Bayesian variational inference using distributed computing clusters

Masegosa, A. R., Martinez, A. M., Langseth, H., Nielsen, T. D., Salmerón, A., Ramos-López, D. & Madsen, A. L., 1 sep. 2017, I : International Journal of Approximate Reasoning. 88, s. 435-451 17 s.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Distributed computer systems
Distributed Computing
Variational Methods
Variational Bayes
Scaling
2016
55 Downloads (Pure)

A Java Toolbox for Analysis of MassIve Data STreams using Probabilistic Graphical Models

Masegosa, A., Martinez, A. M., Ramos-López, D., Langseth, H., Nielsen, T. D., Salmerón, A., Cabanas, R. & Madsen, A. L., 2016.

Publikation: Konferencebidrag uden forlag/tidsskriftPosterForskningpeer review

Fil
1 Citation (Scopus)
183 Downloads (Pure)

Anytime decision making based on unconstrained influence diagrams

Luque, M., Nielsen, T. D. & Jensen, F. V., 2016, I : International Journal of Intelligent Systems. 31, 4, s. 379-398 20 s.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Fil
Influence Diagrams
Decision making
Decision Making
Optimal Policy
Temporal Constraints
4 Citationer (Scopus)

A scalable pairwise class interaction framework for multidimensional classification

Arias, J., Gámez, J. A., Nielsen, T. D. & Puerta, J. M., 2016, I : International Journal of Approximate Reasoning. 68, s. 194–210

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Pairwise
Classifiers
Interaction
Scalability
Classifier
15 Citationer (Scopus)

Bayesian Graphical Models

Jensen, F. V. & Nielsen, T. D., 2016, Wiley StatsRef: Statistics Reference Online. Wiley, s. 1-9 (Wiley StatsRef: Statistics Reference Online).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingEncyclopædiartikelForskningpeer review

Bayesian networks
Probability distributions
Learning algorithms
Availability

d-VMP: Distributed Variational Message Passing

Masegosa, A., Martinez, A. M., Langseth, H., Nielsen, T. D., Salmerón, A., Ramos-López, D. & Madsen, A. L., 2016, JMLR Workshop and Conference Proceedings: Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models. s. 321-332 12 s. (JMLR Workshop and Conference Proceedings, Bind 52).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Åben adgang
10 Citationer (Scopus)
158 Downloads (Pure)

Learning deterministic probabilistic automata from a model checking perspective

Mao, H., Chen, Y., Jaeger, M., Nielsen, T. D., Larsen, K. G. & Nielsen, B., 2016, I : Machine Learning. 105, 2, s. 255-299 45 s.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Fil
Model checking
Learning algorithms
Temporal logic
Hardware

Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs

Salmerón, A., Madsen, A. L., Jensen, F., Langseth, H., Nielsen, T. D., Ramos-López, D., Martinez, A. M. & Masegosa, A., 2016, ECAI 2016: 22nd European Conference on Artificial Intelligence. IOS Press, s. 743-750 8 s. (Frontiers in Artificial Intelligence and Applications, Bind 285).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Åben adgang

Scalable MAP inference in Bayesian networks based on a Map-Reduce approach

Ramos-López, D., Salmerón, A., Rumí, R., Martinez, A. M., Nielsen, T. D., Masegosa, A., Langseth, H. & Madsen, A. L., 2016, JMLR Workshop and Conference Proceedings: Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models. s. 415-425 12 s. (JMLR Workshop and Conference Proceedings, Bind 52).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Åben adgang
2015
303 Downloads (Pure)

AMIDST: Analysis of MassIve Data STreams

Masegosa, A., Martinez, A. M., Borchani, H., Ramos-López, D., Nielsen, T. D., Langseth, H., Salmerón, A. & Madsen, A. L., okt. 2015, The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Fil
Bayesian networks
Parallel algorithms
2 Citationer (Scopus)
55 Downloads (Pure)

Conditional Density Approximations with Mixtures of Polynomials

Varando, G., López-Cruz, P. L., Nielsen, T. D., Bielza, C. & Larrañga, P., 2015, I : International Journal of Intelligent Systems. 30, 3, s. 236-264

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Fil
Conditional Density
Polynomials
Polynomial
Approximation
Basis Functions
4 Citationer (Scopus)
250 Downloads (Pure)

Dynamic Bayesian modeling for risk prediction in credit operations

Borchani, H., Martinez, A. M., Masegosa, A., Langseth, H., Nielsen, T. D., Salmerón, A., Fernández, A., Madsen, A. L. & Sáez, R., 2015, The 13th Scandinavian Conference on Artificial Intelligence (SCAI'2015). IOS Press, s. 17-26 (Frontiers in Artificial Intelligence and Applications, Bind 278).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Fil
Feature extraction
Labels
Classifiers
6 Citationer (Scopus)
291 Downloads (Pure)

Modeling concept drift: A probabilistic graphical model based approach

Borchani, H., Martinez, A. M., Masegosa, A. R., Langseth, H., Nielsen, T. D., Salmerón, A., Fernández, A., Madsen, A. L. & Sáez, R., 2015, Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015, Saint Etienne. France, October 22 -24, 2015. Proceedings. Fromont, E., De Bie, T. & van Leeuwen, M. (red.). Springer, s. 72-83 (Lecture Notes in Computer Science; Nr. 9385).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Fil
157 Downloads (Pure)

MPE inference in conditional linear gaussian networks

Salmerón, A., Rumí, R., Langseth, H., Madsen, A. L. & Nielsen, T. D., 2015, Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015. Proceedings. Destercke, S. & Denoeux, T. (red.). Springer, s. 407-416 (Lecture Notes in Computer Science; Nr. 9161).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Fil
Bayesian networks
Computational complexity
5 Citationer (Scopus)
172 Downloads (Pure)

Parallel importance sampling in conditional linear Gaussian networks

Salmerón, A., Ramos-López, D., Borchani, H., Martinez, A. M., Masegosa, A. R., Fernández, A., Langseth, H., Madsen, A. L. & Nielsen, T. D., 2015, Advances in Artificial Intelligence: 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015 Albacete, Spain, November 9–12, 2015 Proceedings. Puerta, J. M., Gámez, J. A., Dorronsoro, B., Barrenechea, E., Troncoso, A., Baruque, B. & Galar, M. (red.). Springer, s. 36-46 (Lecture Notes in Computer Science; Nr. 9422).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Fil
Importance sampling
4 Citationer (Scopus)
96 Downloads (Pure)

Parallelisation of the PC Algorithm

Madsen, A. L., Jensen, F., Salmerón, A., Langseth, H. & Nielsen, T. D., 2015, Advances in Artificial Intelligence: 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015 Albacete, Spain, November 9–12, 2015 Proceedings. Springer, s. 14-24 11 s. (Lecture Notes in Computer Science, Bind 9422).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Fil
Bayesian networks
Parallel algorithms
Testing
Experiments
8 Citationer (Scopus)
211 Downloads (Pure)

Scalable learning of probabilistic latent models for collaborative filtering

Langseth, H. & Nielsen, T. D., 2015, I : Decision Support Systems. 74

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Fil
Collaborative filtering
Statistical Models
Learning
Self-Help Groups
Scalability
2014
4 Citationer (Scopus)
857 Downloads (Pure)

A classification-based approach to monitoring the safety of dynamic systems

Zhong, S., Langseth, H. & Nielsen, T. D., jan. 2014, I : Reliability Engineering & System Safety. 121, s. 61-71

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Fil
Dynamical systems
Monitoring
Sensors
Experiments
8 Citationer (Scopus)

A new method for vertical parallelisation of TAN learning based on balanced incomplete block designs

Madsen, A. L., Jensen, F., Salmerón, A., Karlsen, M., Langseth, H. & Nielsen, T. D., 2014, Proceedings of the 7th European Workshop on Probabilistic Graphical Models. Springer Publishing Company, Bind 8754. s. 302-317 16 s. (Lecture Notes in Computer Science).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

4 Citationer (Scopus)

A pairwise class interaction framework for multilabel classification

Arias, J., Gámez, J. A., Nielsen, T. D. & Puerta, J. M., 2014, Proceedings of the 7th European Workshop on Probabilistic Graphical Models. van der Gaag, L. C. & Feelders, A. J. (red.). Springer Publishing Company, Bind 8754. s. 17-32 16 s. (Lecture Notes in Computer Science).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceabstrakt i proceedingForskningpeer review

18 Citationer (Scopus)
293 Downloads (Pure)

Learning Mixtures of Truncated Basis Functions from Data

Langseth, H., Nielsen, T. D., Pérez-Bernabé, I. & Salmerón, A., 2014, I : International Journal of Approximate Reasoning. 55, 4, s. 940-966

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Fil
Basis Functions
Bandwidth
Convex optimization
Bayesian networks
Distribution functions
846 Downloads (Pure)

Requirement Engineering for a Small Project with Pre-Specified Scope

Nielsen, T. D., Hovda, S., Antontio, F., Langseth, H., Madsen, A. L., Masegosa, A. & Salmerón, A., 2014, NIK: Norsk Informatikkonferanse . 12 s.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Fil
2013
1 Citation (Scopus)
190 Downloads (Pure)

Learning Mixtures of Polynomials of Conditional Densities from Data

L. López-Cruz, P., Nielsen, T. D., Bielza, C. & Larrañga, P., 2013, Advances in Artificial Intelligence: 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, Madrid, Spain, September 17-20, 2013. Proceedings. Bielza et al., C. (red.). Springer Publishing Company, s. 363-372 10 s. (Lecture Notes in Artificial Intelligence : Subseries of Lecture Notes in Computer Science; Nr. XVIII, Bind 8109).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Fil
Conditional Density
Bayesian Networks
Polynomial
Approximation
Nonparametric Density Estimation
3 Citationer (Scopus)
425 Downloads (Pure)

Probabilistic decision graphs for optimization under uncertainty

Jensen, F. V. & Nielsen, T. D., apr. 2013, I : Annals of Operations Research. 204, 1, s. 223-248

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Fil
Uncertainty
Graph
Influence diagrams
Modeling
Language
2012
9 Citationer (Scopus)
312 Downloads (Pure)

Active Learning of Markov Decision Processes for System Verification

Chen, Y. & Nielsen, T. D., 12 dec. 2012, International Conference on Machine Learning and Applications (ICMLA). s. 289-294

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Fil
Learning systems
Problem-Based Learning
25 Citationer (Scopus)
828 Downloads (Pure)

A latent model for collaborative filtering

Langseth, H. & Nielsen, T. D., jun. 2012, I : International Journal of Approximate Reasoning. 53, 4, s. 447–466 20 s.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Fil
Collaborative filtering
Collaborative Filtering
Recommender systems
Recommender Systems
Dimensionality Reduction
10 Citationer (Scopus)
154 Downloads (Pure)

Inference in hybrid Bayesian networks with Mixtures of Truncated Basis Functions

Langseth, H., Nielsen, T. D., Rumí, R. & Salmerón, A., 2012, Proceedings of the Sixth European Workshop on Probabilistic Graphical Models. Cano, A., Gómez-Olmedo, M. & Nielsen, T. D. (red.). DECSAI, University of Granada, s. 171-178 8 s.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingBidrag til bog/antologiForskningpeer review

Fil
Bayesian networks
Experiments

Learning Markov Decision Processes for Model Checking

Mao, H., Chen, Y., Jaeger, M., Nielsen, T. D., Larsen, K. G. & Nielsen, B., 2012, I : Electronic Proceedings in Theoretical Computer Science. 103, s. 49-63

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

Model checking
Temporal logic
Finite automata
Learning algorithms
Learning systems
10 Citationer (Scopus)
228 Downloads (Pure)

Learning Markov models for stationary system behaviors

Chen, Y., Mao, H., Jaeger, M., Nielsen, T. D., Larsen, K. G. & Nielsen, B., 2012, NASA Formal Methods: 4th International Symposium, NFM 2012, Norfolk, VA, USA, April 3-5, 2012. Proceedings. Goodloe, A. E. & Person, S. (red.). Springer, s. 216-230 15 s. (Lecture Notes in Computer Science, Bind 7226).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Fil
Embedded systems
Markov processes
Learning systems
Hardware
Experiments
8 Citationer (Scopus)
115 Downloads (Pure)

Learning Mixtures of Truncated Basis Functions from Data

Langseth, H., Nielsen, T. D. & Salmerón, A., 2012, Proceedings of the Sixth European Workshop on Probabilistic Graphical Models. Cano, A., Gómez-Olmedo, M. & Nielsen, T. D. (red.). DECSAI, University of Granada, s. 163-170 8 s.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingBidrag til bog/antologiForskningpeer review

Fil
Bayesian networks
Convex optimization
Maximum likelihood
48 Citationer (Scopus)
418 Downloads (Pure)

Mixtures of truncated basis functions

Langseth, H., Nielsen, T. D., Rumí, R. & Salmerón, A., 2012, I : International Journal of Approximate Reasoning. 53, 2, s. 212-227

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Fil
Basis Functions
Approximation
Polynomials
Polynomial
Fourier series
2011
24 Citationer (Scopus)
618 Downloads (Pure)

Learning Probabilistic Automata for Model Checking

Mao, H., Chen, Y., Jaeger, M., Nielsen, T. D., Larsen, K. G. & Nielsen, B., 2011, 8th International Conference on Quantitative Evaluation of Systems (QEST). IEEE, s. 111-120 10 s.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Fil
9 Citationer (Scopus)
534 Downloads (Pure)

Probabilistic decision graphs for optimization under uncertainty

Jensen, F. V. & Nielsen, T. D., 2011, I : 4OR. 9, 1, s. 1-28 28 s.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Fil
Influence Diagrams
Decision problem
Uncertainty
Optimization
Graph in graph theory
2010

Dynamic Latent Classification Model: Towards a More Expressive Model for Dynamic Classification

Zhong, S., Martínez, A. M., Nielsen, T. D. & Langseth, H., 2010.

Publikation: Konferencebidrag uden forlag/tidsskriftPaper uden forlag/tidsskriftForskningpeer review

Monitoring
Sensors
Oils

Editorial: Special Issue on PGM-2008

Jaeger, M. & Nielsen, T. D., jun. 2010, I : International Journal of Approximate Reasoning. 51, 5, s. 473

Publikation: Bidrag til tidsskriftLederForskning

25 Citationer (Scopus)
245 Downloads (Pure)

Parameter Estimation and Model Selection for Mixtures of Truncated Exponentials

Langseth, H., Nielsen, T. D., Rumí, R. & Salmerón, A., jun. 2010, I : International Journal of Approximate Reasoning. 51, 5, s. 485-498

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Fil
Model Selection
Parameter estimation
Parameter Estimation
Likelihood
Regression
4 Citationer (Scopus)
171 Downloads (Pure)

Parameter learning in MTE networks using incomplete data

Fernández, A., Langseth, H., Nielsen, T. D. & Salmerón, A., 2010.

Publikation: Konferencebidrag uden forlag/tidsskriftPaper uden forlag/tidsskriftForskningpeer review

Åben adgang
Fil
Bayesian networks
Maximum likelihood
3 Citationer (Scopus)

Towards a more expressive model for dynamic classification

Zhong, S., Martínez, A. M., Nielsen, T. D. & Langseth, H., 2010, Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23. AAAI Press, s. 563-564

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

2009
9 Citationer (Scopus)
349 Downloads (Pure)

A comparison of two approaches for solving unconstrained influence diagrams

Ahlmann-Ohlsen, K. S., Jensen, F. V., Nielsen, T. D., Pedersen, O. & Vomlelová, M., 2009, I : International Journal of Approximate Reasoning. 50, 1, s. 153-173

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Fil
Influence Diagrams
Decision trees
Specifications
Decision problem
Partial ordering
267 Downloads (Pure)

A latent model for collaborative filtering

Langseth, H. & Nielsen, T. D., 2009, Aalborg Universitet: Department of Computer Science, Aalborg University, 24 s.

Publikation: Working paperForskning

Åben adgang
Fil
Collaborative filtering
Recommender systems
57 Citationer (Scopus)
970 Downloads (Pure)

Inference in hybrid Bayesian networks

Lanseth, H., Nielsen, T. D., Rumí, R. & Salmerón, A., 2009, I : Reliability Engineering & System Safety. 94, 10, s. 1499–1509

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Fil
Bayesian networks
Large scale systems
Engines