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Kevin B. Korb Vis

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*2009
32 Yingying Wen, Kevin B. Korb, Ann E. Nicholson: DataZapper: Generating Incomplete Datasets. ICAART 2009: 69-76
2008
31EEKevin B. Korb, Ann E. Nicholson: The Causal Interpretation of Bayesian Networks. Innovations in Bayesian Networks 2008: 83-116
2007
30EELachlan Brumley, Kevin B. Korb, Carlo Kopp: An Evolutionary Benefit from Misperception in Foraging Behaviour. ACAL 2007: 96-106
29EEKevin 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
27EEAlan Dorin, Kevin B. Korb: Building Virtual Ecosystems from Artificial Chemistry. ECAL 2007: 103-112
26EECarmel 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)
25EEYing 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)
24EEYing 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
23EERodney 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
22EERodney T. O'Donnell, Lloyd Allison, Kevin B. Korb: Learning Hybrid Bayesian Networks by MML. Australian Conference on Artificial Intelligence 2006: 192-203
21EEYing 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
20EEYing 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
19EELucas R. Hope, Kevin B. Korb: An Information-Theoretic Causal Power Theory. Australian Conference on Artificial Intelligence 2005: 805-811
2004
18EEOwen Woodberry, Ann E. Nicholson, Kevin B. Korb, Carmel A. Pollino: Parameterising Bayesian Networks. Australian Conference on Artificial Intelligence 2004: 1101-1107
17EELucas R. Hope, Kevin B. Korb: A Bayesian Metric for Evaluating Machine Learning Algorithms. Australian Conference on Artificial Intelligence 2004: 991-997
16EEKevin B. Korb, Lucas R. Hope, Ann E. Nicholson, Karl Axnick: Varieties of Causal Intervention. PRICAI 2004: 322-331
2002
15EELucas R. Hope, Kevin B. Korb: Bayesian Information Reward. Australian Joint Conference on Artificial Intelligence 2002: 272-283
2001
14EESteven Mascaro, Kevin B. Korb, Ann E. Nicholson: Suicide as an Evolutionarily Stable Strategy. ECAL 2001: 120-132
13EEKevin B. Korb, Lucas R. Hope, Michelle J. Hughes: The Evaluation of Predictive Learners: Some Theoretical and Empirical Results. ECML 2001: 276-287
12EERussell J. Kennett, Kevin B. Korb, Ann E. Nicholson: Seabreeze Prediction Using Bayesian Networks. PAKDD 2001: 148-153
1999
11EEMurlikrishna 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
9EEJulian R. Neil, Kevin B. Korb: The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors. PAKDD 1999: 432-437
8EEKevin B. Korb, Ann E. Nicholson, Nathalie Jitnah: Bayesian Poker. UAI 1999: 343-350
7EEJulian 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
3EEHonghua 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

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

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)