Remco R. Bouckaert

According to our database, Remco R. Bouckaert authored at least 32 papers between 1992 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Adaptive dating and fast proposals: Revisiting the phylogenetic relaxed clock model.

Jordan Douglas, Rong Zhang, Remco R. Bouckaert

PLoS Comput. Biol., 2021

Combinatorial perspectives on Dollo-<i>k</i> characters in phylogenetics.

Remco R. Bouckaert, Mareike Fischer, Kristina Wicke

Adv. Appl. Math., 2021

2019

Bayesian phylodynamics of avian influenza A virus H9N2 in Asia with time-dependent predictors of migration.

Jing Yang, Nicola F. Müller, Remco R. Bouckaert, Bing Xu, Alexei J. Drummond

PLoS Comput. Biol., 2019

BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis.

Remco R. Bouckaert, Timothy G. Vaughan, Joëlle Barido-Sottani, Sebastián Duchêne, Mathieu Fourment, Alexandra Gavryushkina, Joseph Heled, Graham Jones, Denise Kühnert, Nicola De Maio, Michael Matschiner, Fábio K. Mendes, Nicola F. Müller, Huw A. Ogilvie, Louis du Plessis, Alex Popinga, Andrew Rambaut, David A. Rasmussen, Igor Siveroni, Marc A. Suchard, Chieh-Hsi Wu, Dong Xie, Chi Zhang, Tanja Stadler, Alexei J. Drummond

PLoS Comput. Biol., 2019

2014

BEAST 2: A Software Platform for Bayesian Evolutionary Analysis.

Remco R. Bouckaert, Joseph Heled, Denise Kühnert, Timothy G. Vaughan, Chieh-Hsi Wu, Dong Xie, Marc A. Suchard, Andrew Rambaut, Alexei J. Drummond

PLoS Comput. Biol., 2014

2010

Efficient Algorithms for Conditional Independence Inference.

Remco R. Bouckaert, Raymond Hemmecke, Silvia Lindner, Milan Studený

J. Mach. Learn. Res., 2010

WEKA - Experiences with a Java Open-Source Project.

Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten

J. Mach. Learn. Res., 2010

DensiTree: making sense of sets of phylogenetic trees.

Remco R. Bouckaert

Bioinform., 2010

2009

Conditional Density Estimation with Class Probability Estimators.

Eibe Frank, Remco R. Bouckaert

Proceedings of the Advances in Machine Learning, 2009

A Hierarchical Face Recognition Algorithm.

Remco R. Bouckaert

Proceedings of the Advances in Machine Learning, 2009

2008

Practical Bias Variance Decomposition.

Remco R. Bouckaert

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007

Racing algorithms for conditional independence inference.

Remco R. Bouckaert, Milan Studený

Int. J. Approx. Reason., 2007

2006

Naive Bayes for Text Classification with Unbalanced Classes.

Eibe Frank, Remco R. Bouckaert

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Generalized Unified Decomposition of Ensemble Loss.

Remco R. Bouckaert, Michael Goebel, Patricia J. Riddle

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Voting Massive Collections of Bayesian Network Classifiers for Data Streams.

Remco R. Bouckaert

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Efficient AUC Learning Curve Calculation.

Remco R. Bouckaert

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Racing for Conditional Independence Inference.

Remco R. Bouckaert, Milan Studený

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004

Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms.

Remco R. Bouckaert, Eibe Frank

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Estimating replicability of classifier learning experiments.

Remco R. Bouckaert

Proceedings of the Machine Learning, 2004

Naive Bayes Classifiers That Perform Well with Continuous Variables.

Remco R. Bouckaert

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003

Choosing Between Two Learning Algorithms Based on Calibrated Tests.

Remco R. Bouckaert

Proceedings of the Machine Learning, 2003

Choosing Learning Algorithms Using Sign Tests with High Replicability.

Remco R. Bouckaert

Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

A Probabilistic Line Breaking Algorithm.

Remco R. Bouckaert

Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2001

On characterizing Inclusion of Bayesian Networks.

Tomás Kocka, Remco R. Bouckaert, Milan Studený

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

1996

A modified simulation scheme for inference in Bayesian networks.

Remco R. Bouckaert, Enrique F. Castillo, José Manuel Gutiérrez

Int. J. Approx. Reason., 1996

1995

Error Estimation in Approximate Bayesian Belief Network Inference.

Enrique F. Castillo, Remco R. Bouckaert, José María Sarabia, Cristina Solares

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Chain graphs: semantics and expressiveness.

Remco R. Bouckaert, Milan Studený

Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1995

1994

A Stratified Simulation Scheme for Inference in Bayesian Belief Networks.

Remco R. Bouckaert

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Properties of Bayesian Belief Network Learning Algorithms.

Remco R. Bouckaert

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

1993

IDAGs: a Perfect Map for Any Distribution.

Remco R. Bouckaert

Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1993

Probalistic Network Construction Using the Minimum Description Length Principle.

Remco R. Bouckaert

Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1993

1992

Optimizing Causal Orderings for Generating DAGs from Data.

Remco R. Bouckaert

Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992