Beast 2: A Software Platform For Bayesian Evolutionary Analysis | 23 | 1.62 | 2014 |
A stratified simulation scheme for inference in Bayesian belief networks | 4 | 0.58 | 2013 |
On characterizing Inclusion of Bayesian Networks | 9 | 3.35 | 2013 |
Properties of Bayesian belief network learning algorithms | 25 | 4.93 | 2013 |
Error estimation in approximate Bayesian belief network inference | 2 | 0.51 | 2013 |
DensiTree: making sense of sets of phylogenetic trees. | 2 | 0.79 | 2010 |
Efficient Algorithms for Conditional Independence Inference | 6 | 0.60 | 2010 |
WEKA---Experiences with a Java Open-Source Project | 101 | 5.12 | 2010 |
Conditional Density Estimation with Class Probability Estimators | 9 | 0.53 | 2009 |
A Hierarchical Face Recognition Algorithm | 0 | 0.34 | 2009 |
Practical Bias Variance Decomposition | 4 | 0.43 | 2008 |
Racing algorithms for conditional independence inference | 9 | 0.72 | 2007 |
Generalized unified decomposition of ensemble loss | 1 | 0.37 | 2006 |
Efficient AUC learning curve calculation | 3 | 0.38 | 2006 |
Naive bayes for text classification with unbalanced classes | 53 | 2.81 | 2006 |
Voting massive collections of bayesian network classifiers for data streams | 2 | 0.37 | 2006 |
Racing for conditional independence inference | 0 | 0.34 | 2005 |
Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms | 85 | 12.93 | 2004 |
Estimating replicability of classifier learning experiments | 20 | 10.26 | 2004 |
Naive bayes classifiers that perform well with continuous variables | 19 | 1.35 | 2004 |
A Probabilistic Line Breaking Algorithm | 0 | 0.34 | 2003 |
Choosing Between Two Learning Algorithms Based on Calibrated Tests | 48 | 18.35 | 2003 |
Choosing Learning Algorithms Using Sign Tests with High Replicability | 2 | 1.96 | 2003 |
A modified simulation scheme for inference in Bayesian networks | 18 | 1.50 | 1996 |
Chain graphs: semantics and expressiveness | 10 | 1.96 | 1995 |
IDAGs: a Perfect Map for Any Distribution | 1 | 0.46 | 1993 |
Probalistic Network Construction Using the Minimum Description Length Principle | 28 | 10.05 | 1993 |