Carsten Riggelsen

14 papers A* 1A 2B 1C 1Journal 1Unranked 6

Year	Rank	Type	Title / Venue / Authors
2013	—	`conf`	Visualisation of high-dimensional data using an ensemble of neural networks. CIEL Nikolaos Gianniotis, Carsten Riggelsen
2012	—	`conf`	Autoencoding Ground Motion Data for Visualisation. ICANN (2) Nikolaos Gianniotis, Carsten Riggelsen, Nicolas Kühn, Frank Scherbaum
2012	—	`conf`	Graphical Models as Surrogates for Complex Ground Motion Models. ICAISC (2) Kristin Vogel, Carsten Riggelsen, Nicolas Kuehn, Frank Scherbaum
2012	B	`conf`	learning task relatedness via dirichlet process priors for linear regression models. ESANN Marcel Hermkes, Nicolas Kuehn, Carsten Riggelsen
2009	C	`conf`	Bayesian Belief Network for Tsunami Warning Decision Support. ECSQARU Lilian Blaser, Matthias Ohrnberger, Carsten Riggelsen, Frank Scherbaum
2008	—	`book`	Approximation Methods for Efficient Learning of Bayesian Networks Carsten Riggelsen
2008	A*	`conf`	Learning Bayesian Networks: A MAP Criterion for Joint Selection of Model Structure and Parameter. ICDM Carsten Riggelsen
2008	—	`conf`	Unsupervised Feature Selection for Pattern Discovery in Seismic Wavefields. FSDM Andreas Köhler, Matthias Ohrnberger, Carsten Riggelsen, Frank Scherbaum
2007	—	`conf`	Dynamic Bayesian Networks for Real-Time Classification of Seismic Signals. PKDD Carsten Riggelsen, Matthias Ohrnberger, Frank Scherbaum
2006	—	`—`	Approximation Methods for Efficient Learning of Bayesian Networks. Carsten Riggelsen
2006	A	`conf`	Learning Bayesian Networks from Incomplete Data: An Efficient Method for Generating Approximate Predictive Distributions. SDM Carsten Riggelsen
2006	J	`jnl`	Learning parameters of Bayesian networks from incomplete data via importance sampling. Int. J. Approx. Reason. Carsten Riggelsen
2005	A	`conf`	Learning Bayesian Network Models from Incomplete Data using Importance Sampling. AISTATS Carsten Riggelsen, Ad Feelders
2005	—	`conf`	MCMC Learning of Bayesian Network Models by Markov Blanket Decomposition. ECML Carsten Riggelsen