Carsten Riggelsen

According to our database, Carsten Riggelsen authored at least 11 papers between 2005 and 2013.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2013

Visualisation of high-dimensional data using an ensemble of neural networks.

Nikolaos Gianniotis, Carsten Riggelsen

Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

2012

Autoencoding Ground Motion Data for Visualisation.

Nikolaos Gianniotis, Carsten Riggelsen, Nicolas Kühn, Frank Scherbaum

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Graphical Models as Surrogates for Complex Ground Motion Models.

Kristin Vogel, Carsten Riggelsen, Nicolas Kuehn, Frank Scherbaum

Proceedings of the Artificial Intelligence and Soft Computing, 2012

learning task relatedness via dirichlet process priors for linear regression models.

Marcel Hermkes, Nicolas Kuehn, Carsten Riggelsen

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2009

Bayesian Belief Network for Tsunami Warning Decision Support.

Lilian Blaser, Matthias Ohrnberger, Carsten Riggelsen, Frank Scherbaum

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008

Learning Bayesian Networks: A MAP Criterion for Joint Selection of Model Structure and Parameter.

Carsten Riggelsen

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Dynamic Bayesian Networks for Real-Time Classification of Seismic Signals.

Carsten Riggelsen, Matthias Ohrnberger, Frank Scherbaum

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

2006

Approximation Methods for Efficient Learning of Bayesian Networks.

Carsten Riggelsen

PhD thesis, 2006

Learning Bayesian Networks from Incomplete Data: An Efficient Method for Generating Approximate Predictive Distributions.

Carsten Riggelsen

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

2005

MCMC Learning of Bayesian Network Models by Markov Blanket Decomposition.

Carsten Riggelsen

Proceedings of the Machine Learning: ECML 2005, 2005

Learning Bayesian Network Models from Incomplete Data using Importance Sampling.

Carsten Riggelsen, Ad Feelders

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005