2008 |
31 | EE | Kevin B. Korb,
Ann E. Nicholson:
The Causal Interpretation of Bayesian Networks.
Innovations in Bayesian Networks 2008: 83-116 |
2007 |
30 | EE | Lachlan Brumley,
Kevin B. Korb,
Carlo Kopp:
An Evolutionary Benefit from Misperception in Foraging Behaviour.
ACAL 2007: 96-106 |
29 | EE | Kevin B. Korb,
Ann E. Nicholson,
Lucas R. Hope:
Take Heart II: A Modular Bayesian Decision Support System.
ACSW Frontiers 2007: 203-203 |
28 | | Yingying Wen,
Kevin B. Korb:
A heuristic algorithm for pattern-to-DAG conversion.
Artificial Intelligence and Applications 2007: 428-433 |
27 | EE | Alan Dorin,
Kevin B. Korb:
Building Virtual Ecosystems from Artificial Chemistry.
ECAL 2007: 103-112 |
26 | EE | Carmel A. Pollino,
Owen Woodberry,
Ann E. Nicholson,
Kevin B. Korb,
Barry T. Hart:
Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment.
Environmental Modelling and Software 22(8): 1140-1152 (2007) |
25 | EE | Ying Yang,
Geoffrey I. Webb,
Jesús Cerquides,
Kevin B. Korb,
Janice R. Boughton,
Kai Ming Ting:
To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators.
IEEE Trans. Knowl. Data Eng. 19(12): 1652-1665 (2007) |
24 | EE | Ying Yang,
Geoffrey I. Webb,
Kevin B. Korb,
Kai Ming Ting:
Classifying under computational resource constraints: anytime classification using probabilistic estimators.
Machine Learning 69(1): 35-53 (2007) |
2006 |
23 | EE | Rodney T. O'Donnell,
Ann E. Nicholson,
B. Han,
Kevin B. Korb,
M. J. Alam,
Lucas R. Hope:
Causal Discovery with Prior Information.
Australian Conference on Artificial Intelligence 2006: 1162-1167 |
22 | EE | Rodney T. O'Donnell,
Lloyd Allison,
Kevin B. Korb:
Learning Hybrid Bayesian Networks by MML.
Australian Conference on Artificial Intelligence 2006: 192-203 |
21 | EE | Ying Yang,
Geoffrey I. Webb,
Jesús Cerquides,
Kevin B. Korb,
Janice R. Boughton,
Kai Ming Ting:
To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles.
ECML 2006: 533-544 |
2005 |
20 | EE | Ying Yang,
Kevin B. Korb,
Kai Ming Ting,
Geoffrey I. Webb:
Ensemble Selection for SuperParent-One-Dependence Estimators.
Australian Conference on Artificial Intelligence 2005: 102-112 |
19 | EE | Lucas R. Hope,
Kevin B. Korb:
An Information-Theoretic Causal Power Theory.
Australian Conference on Artificial Intelligence 2005: 805-811 |
2004 |
18 | EE | Owen Woodberry,
Ann E. Nicholson,
Kevin B. Korb,
Carmel A. Pollino:
Parameterising Bayesian Networks.
Australian Conference on Artificial Intelligence 2004: 1101-1107 |
17 | EE | Lucas R. Hope,
Kevin B. Korb:
A Bayesian Metric for Evaluating Machine Learning Algorithms.
Australian Conference on Artificial Intelligence 2004: 991-997 |
16 | EE | Kevin B. Korb,
Lucas R. Hope,
Ann E. Nicholson,
Karl Axnick:
Varieties of Causal Intervention.
PRICAI 2004: 322-331 |
2002 |
15 | EE | Lucas R. Hope,
Kevin B. Korb:
Bayesian Information Reward.
Australian Joint Conference on Artificial Intelligence 2002: 272-283 |
2001 |
14 | EE | Steven Mascaro,
Kevin B. Korb,
Ann E. Nicholson:
Suicide as an Evolutionarily Stable Strategy.
ECAL 2001: 120-132 |
13 | EE | Kevin B. Korb,
Lucas R. Hope,
Michelle J. Hughes:
The Evaluation of Predictive Learners: Some Theoretical and Empirical Results.
ECML 2001: 276-287 |
12 | EE | Russell J. Kennett,
Kevin B. Korb,
Ann E. Nicholson:
Seabreeze Prediction Using Bayesian Networks.
PAKDD 2001: 148-153 |
1999 |
11 | | Murlikrishna Viswanathan,
Chris S. Wallace,
David L. Dowe,
Kevin B. Korb:
Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation.
Australian Joint Conference on Artificial Intelligence 1999: 405-416 |
10 | | Ingrid Zukerman,
Richard McConachy,
Kevin B. Korb,
Deborah Pickett:
Exploratory Interaction with a Bayesian Argumentation System.
IJCAI 1999: 1294-1299 |
9 | EE | Julian R. Neil,
Kevin B. Korb:
The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors.
PAKDD 1999: 432-437 |
8 | EE | Kevin B. Korb,
Ann E. Nicholson,
Nathalie Jitnah:
Bayesian Poker.
UAI 1999: 343-350 |
7 | EE | Julian R. Neil,
Chris S. Wallace,
Kevin B. Korb:
Learning Bayesian Networks with Restricted Causal Interactions.
UAI 1999: 486-493 |
1998 |
6 | | Xindong Wu,
Kotagiri Ramamohanarao,
Kevin B. Korb:
Research and Development in Knowledge Discovery and Data Mining, Second Pacific-Asia Conference, PAKDD-98, Melbourne, Australia, April 15-17, 1998, Proceedings
Springer 1998 |
5 | | Ingrid Zukerman,
Richard McConachy,
Kevin B. Korb:
Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis.
AAAI/IAAI 1998: 833-838 |
1997 |
4 | | Honghua Dai,
Kevin B. Korb,
Chris S. Wallace,
Xindong Wu:
A Study of Causal Discovery With Weak Links and Small Samples.
IJCAI 1997: 1304-1309 |
1996 |
3 | EE | Honghua Dai,
Kevin B. Korb,
Chris S. Wallace:
The discovery of causal models with small samples.
ANZIIS 1996: 27-30 |
2 | | Chris S. Wallace,
Kevin B. Korb,
Honghua Dai:
Causal Discovery via MML.
ICML 1996: 516-524 |
1994 |
1 | | Kevin B. Korb:
Infinitely Many Resolutions of Hempel's Paradox.
TARK 1994: 138-149 |