 | 2008 |
|---|
| 13 |       | Tomás Singliar,
Denver Dash:
Efficient Inference in Persistent Dynamic Bayesian Networks.
UAI 2008: 494-502 |
| 12 | | Denver Dash,
Marek J. Druzdzel:
A note on the correctness of the causal ordering algorithm.
Artif. Intell. 172(15): 1800-1808 (2008) |
| 2007 |
|---|
| 11 |  | Tomás Singliar,
Denver Dash:
COD: Online Temporal Clustering for Outbreak Detection.
AAAI 2007: 633-638 |
| 2006 |
|---|
| 10 | | Denver Dash,
Branislav Kveton,
John Mark Agosta,
Eve M. Schooler,
Jaideep Chandrashekar,
Abraham Bachrach,
Alex Newman:
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions.
AAAI 2006 |
| 2005 |
|---|
| 9 | | Branislav Kveton,
Denver Dash:
Automatic Excursion Detection in Manufacturing: Preliminary Results.
FLAIRS Conference 2005: 375-380 |
| 2004 |
|---|
| 8 | | Gregory F. Cooper,
Denver Dash,
John Levander,
Weng-Keen Wong,
William R. Hogan,
Michael M. Wagner:
Bayesian Biosurveillance of Disease Outbreaks.
UAI 2004: 94-103 |
| 7 | | Denver Dash,
Gregory F. Cooper:
Model Averaging for Prediction with Discrete Bayesian Networks.
Journal of Machine Learning Research 5: 1177-1203 (2004) |
| 2003 |
|---|
| 6 | | Denver Dash,
Marek J. Druzdzel:
Robust Independence Testing for Constraint-Based Learning of Causal Structure.
UAI 2003: 167-174 |
| 2002 |
|---|
| 5 | | Denver Dash,
Gregory F. Cooper:
Exact model averaging with naive Bayesian classifiers.
ICML 2002: 91-98 |
| 4 | | Haiqin Wang,
Denver Dash,
Marek J. Druzdzel:
A method for evaluating elicitation schemes for probabilistic models.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(1): 38-43 (2002) |
| 2001 |
|---|
| 3 | | Denver Dash,
Marek J. Druzdzel:
Caveats for Causal Reasoning with Equilibrium Models.
ECSQARU 2001: 192-203 |
| 2 | | Haiqin Wang,
Denver Dash,
Marek J. Druzdzel:
A Method for Evaluating Elicitation Schemes for Probabilities.
FLAIRS Conference 2001: 607-612 |
| 1999 |
|---|
| 1 | | Denver Dash,
Marek J. Druzdzel:
A Hybrid Anytime Algorithm for the Construction of Causal Models From Sparse Data.
UAI 1999: 142-149 |
