Remco R. Bouckaert - researchr alias

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Viewing Publication 1 - 31 from 31

2021

k characters in phylogeneticsRemco R. Bouckaert, Mareike Fischer, Kristina Wicke. aam, 131:102252, 2021. [doi]

Adaptive dating and fast proposals: Revisiting the phylogenetic relaxed clock modelJordan Douglas, Rong Zhang, Remco R. Bouckaert. ploscb, 17(2), 2021. [doi]

2019

2014

BEAST 2: A Software Platform for Bayesian Evolutionary AnalysisRemco R. Bouckaert, Joseph Heled, Denise Kühnert, Timothy G. Vaughan, Chieh-Hsi Wu, Dong Xie, Marc A. Suchard, Andrew Rambaut, Alexei J. Drummond. ploscb, 10(4), 2014. [doi]

2010

DensiTree: making sense of sets of phylogenetic treesRemco R. Bouckaert. bioinformatics, 26(10):1372-1373, 2010. [doi]

Efficient Algorithms for Conditional Independence InferenceRemco R. Bouckaert, Raymond Hemmecke, Silvia Lindner, Milan Studený. jmlr, 11:3453-3479, 2010. [doi]

WEKA - Experiences with a Java Open-Source ProjectRemco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten. jmlr, 11:2533-2541, 2010. [doi]

2009

A Hierarchical Face Recognition AlgorithmRemco R. Bouckaert. acml 2009: 38-50 [doi]

Conditional Density Estimation with Class Probability EstimatorsEibe Frank, Remco R. Bouckaert. acml 2009: 65-81 [doi]

2008

Practical Bias Variance DecompositionRemco R. Bouckaert. ausai 2008: 247-257 [doi]

2006

Voting Massive Collections of Bayesian Network Classifiers for Data StreamsRemco R. Bouckaert. ausai 2006: 243-252 [doi]

Efficient AUC Learning Curve CalculationRemco R. Bouckaert. ausai 2006: 181-191 [doi]

Generalized Unified Decomposition of Ensemble LossRemco R. Bouckaert, Michael Goebel, Patricia J. Riddle. ausai 2006: 1133-1139 [doi]

Naive Bayes for Text Classification with Unbalanced ClassesEibe Frank, Remco R. Bouckaert. pkdd 2006: 503-510 [doi]

2005

Racing for Conditional Independence InferenceRemco R. Bouckaert, Milan Studený. ecsqaru 2005: 221-232 [doi]

2004

Naive Bayes Classifiers That Perform Well with Continuous VariablesRemco R. Bouckaert. ausai 2004: 1089-1094 [doi]

Estimating replicability of classifier learning experimentsRemco R. Bouckaert. icml 2004: [doi]

Evaluating the Replicability of Significance Tests for Comparing Learning AlgorithmsRemco R. Bouckaert, Eibe Frank. pakdd 2004: 3-12 [doi]

2003

A Probabilistic Line Breaking AlgorithmRemco R. Bouckaert. ausai 2003: 390-401 [doi]

Choosing Learning Algorithms Using Sign Tests with High ReplicabilityRemco R. Bouckaert. ausai 2003: 710-722 [doi]

Choosing Between Two Learning Algorithms Based on Calibrated TestsRemco R. Bouckaert. icml 2003: 51-58

2001

On characterizing Inclusion of Bayesian NetworksTomás Kocka, Remco R. Bouckaert, Milan Studený. uai 2001: 261-268 [doi]

1996

A modified simulation scheme for inference in Bayesian networksRemco R. Bouckaert, Enrique Castillo, José Manuel Gutiérrez. ijar, 14(1):55-80, 1996. [doi]

1995

Chain graphs: semantics and expressivenessRemco R. Bouckaert, Milan Studený. ecsqaru 1995: 69-76

Error Estimation in Approximate Bayesian Belief Network InferenceEnrique Castillo, Remco R. Bouckaert, José María Sarabia, Cristina Solares. uai 1995: 55-62 [doi]

1994

A Stratified Simulation Scheme for Inference in Bayesian Belief NetworksRemco R. Bouckaert. uai 1994: 110-117 [doi]

Properties of Bayesian Belief Network Learning AlgorithmsRemco R. Bouckaert. uai 1994: 102-109 [doi]

1993

IDAGs: a Perfect Map for Any DistributionRemco R. Bouckaert. ecsqaru 1993: 49-56

Probalistic Network Construction Using the Minimum Description Length PrincipleRemco R. Bouckaert. ecsqaru 1993: 41-48

1992

Optimizing Causal Orderings for Generating DAGs from DataRemco R. Bouckaert. uai 1992: 9-16 [doi]

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