Carsten Riggelsen

According to our database1, Carsten Riggelsen authored at least 14 papers between 2005 and 2013.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2013
Visualisation of high-dimensional data using an ensemble of neural networks.
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

2012
Autoencoding Ground Motion Data for Visualisation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Graphical Models as Surrogates for Complex Ground Motion Models.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

learning task relatedness via dirichlet process priors for linear regression models.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2009
Bayesian Belief Network for Tsunami Warning Decision Support.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008
Approximation Methods for Efficient Learning of Bayesian Networks
Frontiers in Artificial Intelligence and Applications 168, IOS Press, ISBN: 978-1-58603-821-2, 2008

Unsupervised Feature Selection for Pattern Discovery in Seismic Wavefields.
Proceedings of the Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 2008

Learning Bayesian Networks: A MAP Criterion for Joint Selection of Model Structure and Parameter.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Dynamic Bayesian Networks for Real-Time Classification of Seismic Signals.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

2006
Approximation Methods for Efficient Learning of Bayesian Networks.
PhD thesis, 2006

Learning parameters of Bayesian networks from incomplete data via importance sampling.
Int. J. Approx. Reason., 2006

Learning Bayesian Networks from Incomplete Data: An Efficient Method for Generating Approximate Predictive Distributions.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

2005
MCMC Learning of Bayesian Network Models by Markov Blanket Decomposition.
Proceedings of the Machine Learning: ECML 2005, 2005

Learning Bayesian Network Models from Incomplete Data using Importance Sampling.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005


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