| 2008 |
|---|
| 22 | EE | Remco R. Bouckaert:
Practical Bias Variance Decomposition.
Australasian Conference on Artificial Intelligence 2008: 247-257 |
| 2007 |
|---|
| 21 | EE | Remco R. Bouckaert,
Milan Studený:
Racing algorithms for conditional independence inference.
Int. J. Approx. Reasoning 45(2): 386-401 (2007) |
| 2006 |
|---|
| 20 | EE | Remco R. Bouckaert,
Michael Goebel,
Patricia J. Riddle:
Generalized Unified Decomposition of Ensemble Loss.
Australian Conference on Artificial Intelligence 2006: 1133-1139 |
| 19 | EE | Remco R. Bouckaert:
Efficient AUC Learning Curve Calculation.
Australian Conference on Artificial Intelligence 2006: 181-191 |
| 18 | EE | Remco R. Bouckaert:
Voting Massive Collections of Bayesian Network Classifiers for Data Streams.
Australian Conference on Artificial Intelligence 2006: 243-252 |
| 17 | EE | Eibe Frank,
Remco R. Bouckaert:
Naive Bayes for Text Classification with Unbalanced Classes.
PKDD 2006: 503-510 |
| 2005 |
|---|
| 16 | EE | Remco R. Bouckaert,
Milan Studený:
Racing for Conditional Independence Inference.
ECSQARU 2005: 221-232 |
| 2004 |
|---|
| 15 | EE | Remco R. Bouckaert:
Naive Bayes Classifiers That Perform Well with Continuous Variables.
Australian Conference on Artificial Intelligence 2004: 1089-1094 |
| 14 | EE | Remco R. Bouckaert:
Estimating replicability of classifier learning experiments.
ICML 2004 |
| 13 | EE | Remco R. Bouckaert,
Eibe Frank:
Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms.
PAKDD 2004: 3-12 |
| 2003 |
|---|
| 12 | EE | Remco R. Bouckaert:
A Probabilistic Line Breaking Algorithm.
Australian Conference on Artificial Intelligence 2003: 390-401 |
| 11 | EE | Remco R. Bouckaert:
Choosing Learning Algorithms Using Sign Tests with High Replicability.
Australian Conference on Artificial Intelligence 2003: 710-722 |
| 10 | | Remco R. Bouckaert:
Choosing Between Two Learning Algorithms Based on Calibrated Tests.
ICML 2003: 51-58 |
| 2001 |
|---|
| 9 | EE | Tomás Kocka,
Remco R. Bouckaert,
Milan Studený:
On characterizing Inclusion of Bayesian Networks.
UAI 2001: 261-268 |
| 1996 |
|---|
| 8 | EE | Remco R. Bouckaert,
Enrique Castillo,
José Manuel Gutiérrez:
A modified simulation scheme for inference in Bayesian networks.
Int. J. Approx. Reasoning 14(1): 55-80 (1996) |
| 1995 |
|---|
| 7 | | Remco R. Bouckaert,
Milan Studený:
Chain graphs: semantics and expressiveness.
ECSQARU 1995: 69-76 |
| 6 | EE | Enrique Castillo,
Remco R. Bouckaert,
José María Sarabia,
Cristina Solares:
Error Estimation in Approximate Bayesian Belief Network Inference.
UAI 1995: 55-62 |
| 1994 |
|---|
| 5 | EE | Remco R. Bouckaert:
Properties of Bayesian Belief Network Learning Algorithms.
UAI 1994: 102-109 |
| 4 | EE | Remco R. Bouckaert:
A Stratified Simulation Scheme for Inference in Bayesian Belief Networks.
UAI 1994: 110-117 |
| 1993 |
|---|
| 3 | | Remco R. Bouckaert:
Probalistic Network Construction Using the Minimum Description Length Principle.
ECSQARU 1993: 41-48 |
| 2 | | Remco R. Bouckaert:
IDAGs: a Perfect Map for Any Distribution.
ECSQARU 1993: 49-56 |
| 1992 |
|---|
| 1 | EE | Remco R. Bouckaert:
Optimizing Causal Orderings for Generating DAGs from Data.
UAI 1992: 9-16 |
