Kevin B. Korb

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

Coauthor Index

1	M. J. Alam	[23]
2	Lloyd Allison	[22]
3	Karl Axnick	[16]
4	Janice R. Boughton	[21] [25]
5	Lachlan Brumley	[30]
6	Jesús Cerquides	[21] [25]
7	Honghua Dai	[2] [3] [4]
8	Alan Dorin	[27]
9	David L. Dowe	[11]
10	B. Han	[23]
11	Barry T. Hart	[26]
12	Lucas R. Hope	[13] [15] [16] [17] [19] [23] [29]
13	Michelle J. Hughes	[13]
14	Nathalie Jitnah	[8]
15	Russell J. Kennett	[12]
16	Carlo Kopp	[30]
17	Steven Mascaro	[14]
18	Richard McConachy	[5] [10]
19	Julian R. Neil	[7] [9]
20	Ann E. Nicholson	[8] [12] [14] [16] [18] [23] [26] [29] [31]
21	Rodney T. O'Donnell	[22] [23]
22	Deborah Pickett	[10]
23	Carmel A. Pollino	[18] [26]
24	Kotagiri Ramamohanarao	[6]
25	Kai Ming Ting	[20] [21] [24] [25]
26	Murlikrishna Viswanathan	[11]
27	Chris S. Wallace	[2] [3] [4] [7] [11]
28	Geoffrey I. Webb	[20] [21] [24] [25]
29	Yingying Wen	[28]
30	Owen Woodberry	[18] [26]
31	Xindong Wu	[4] [6]
32	Ying Yang	[20] [21] [24] [25]
33	Ingrid Zukerman	[5] [10]

Colors in the list of coauthors