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Kevin B. Korb
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2020 – today
- 2021
- [j13]Yang Li
, Lloyd Allison
, Kevin B. Korb:
The difficulty of being moral. Theor. Comput. Sci. 885: 77-90 (2021) - [i10]Yang Li, Kevin B. Korb, Lloyd Allison:
Markov Blanket Discovery using Minimum Message Length. CoRR abs/2107.08140 (2021) - [i9]Rodney T. O'Donnell, Kevin B. Korb, Lloyd Allison:
Causal KL: Evaluating Causal Discovery. CoRR abs/2111.06029 (2021) - 2020
- [i8]Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg, Michael Wybrow, Ingrid Zukerman, Steven Mascaro, Shreshth Thakur, Abraham Oshni Alvandi, Jeff Riley, Ross Pearson
, Shane Morris, Matthieu Herrmann, A. K. M. Azad, Fergus Bolger, Ulrike Hahn, David A. Lagnado:
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning. CoRR abs/2003.01207 (2020)
2010 – 2019
- 2019
- [i7]Yang Li, Kevin B. Korb, Lloyd Allison:
The Complexity of Morality: Checking Markov Blanket Consistency with DAGs via Morality. CoRR abs/1903.01707 (2019) - [i6]Yang Li, Lloyd Allison, Kevin B. Korb:
Proving the NP-completeness of optimal moral graph triangulation. CoRR abs/1903.02201 (2019) - 2018
- [j12]Ken I. McAnally
, Catherine E. Davey
, Daniel White, Murray Stimson, Steven Mascaro, Kevin B. Korb:
Inference in the Wild: A Framework for Human Situation Assessment and a Case Study of Air Combat. Cogn. Sci. 42(7): 2181-2204 (2018) - 2017
- [c44]Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson
, Steven Mascaro:
Applying Dependency Patterns in Causal Discovery of Latent Variable Models. ACALCI 2017: 134-143 - [c43]Md. Samiullah, Thao Xuan Hoang, David W. Albrecht
, Ann E. Nicholson
, Kevin B. Korb:
iOOBN: A Bayesian Network Modelling Tool Using Object Oriented Bayesian Networks with Inheritance. ICTAI 2017: 1218-1225 - [r3]Kevin B. Korb:
Learning Graphical Models. Encyclopedia of Machine Learning and Data Mining 2017: 715-723 - 2016
- [c42]Kevin B. Korb, Lachlan Brumley, Carlo Kopp:
An empirical study of the co-evolution of utility and predictive ability. CEC 2016: 703-710 - [i5]Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro:
Latent Variable Discovery Using Dependency Patterns. CoRR abs/1607.06617 (2016) - 2015
- [c41]Rosa F. Ropero, Ann E. Nicholson
, Kevin B. Korb:
Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling. CAEPIA 2015: 175-184 - [c40]Tim Taylor
, Alan Dorin
, Kevin B. Korb:
Omnigram Explorer: A Simple Interactive Tool for the Initial Exploration of Complex Systems. ECAL 2015: 381-388 - [i4]Tim Taylor, Alan Dorin, Kevin B. Korb:
Digital Genesis: Computers, Evolution and Artificial Life. CoRR abs/1512.02100 (2015) - 2014
- [j11]Steven Mascaro, Ann E. Nicholson
, Kevin B. Korb:
Anomaly detection in vessel tracks using Bayesian networks. Int. J. Approx. Reason. 55(1): 84-98 (2014) - [c39]Alex Black, Kevin B. Korb, Ann E. Nicholson
:
Intrinsic Learning of Dynamic Bayesian Networks. PRICAI 2014: 256-269 - 2013
- [j10]Nicholas Geard
, James M. McCaw, Alan Dorin
, Kevin B. Korb, Jodie McVernon:
Synthetic Population Dynamics: A Model of Household Demography. J. Artif. Soc. Soc. Simul. 16(1) (2013) - [p4]Kevin B. Korb, Nicholas Geard
, Alan Dorin
:
A Bayesian Approach to the Validation of Agent-Based Models. Ontology, Epistemology, and Teleology for Modeling and Simulation 2013: 255-269 - [i3]Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah:
Bayesian Poker. CoRR abs/1301.6711 (2013) - [i2]Julian R. Neil, Chris S. Wallace, Kevin B. Korb:
Learning Bayesian Networks with Restricted Causal Interactions. CoRR abs/1301.6727 (2013) - 2012
- [c38]Cora Beatriz Pérez-Ariza, Ann E. Nicholson
, Kevin B. Korb, Steven Mascaro, Chao Heng Hu:
Causal Discovery of Dynamic Bayesian Networks. Australasian Conference on Artificial Intelligence 2012: 902-913 - 2011
- [j9]M. Julia Flores
, Ann E. Nicholson
, Andrew Brunskill, Kevin B. Korb, Steven Mascaro:
Incorporating expert knowledge when learning Bayesian network structure: A medical case study. Artif. Intell. Medicine 53(3): 181-204 (2011) - 2010
- [c37]Alan Dorin, Kevin B. Korb:
Network Measures of Ecosystem Complexity. ALIFE 2010: 323-328 - [r2]Kevin B. Korb:
Learning Graphical Models. Encyclopedia of Machine Learning 2010: 584-590
2000 – 2009
- 2009
- [c36]Alan Dorin
, Kevin B. Korb:
A New Definition of Creativity. ACAL 2009: 11-21 - [c35]Lachlan Brumley, Kevin B. Korb, Carlo Kopp:
Using Misperception to Counteract Noise in the Iterated Prisoner's Dilemma. ACAL 2009: 53-62 - [c34]Owen Woodberry, Kevin B. Korb, Ann E. Nicholson
:
Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics. ACAL 2009: 86-95 - [c33]Yingying Wen, Kevin B. Korb, Ann E. Nicholson:
DataZapper: Generating Incomplete Datasets. ICAART 2009: 69-76 - [c32]Yingying Wen, Kevin B. Korb, Ann E. Nicholson
:
Generating Incomplete Data with DataZapper. ICAART (Revised Selected Papers) 2009: 110-123 - [e2]Kevin B. Korb, Marcus Randall
, Tim Hendtlass:
Artificial Life: Borrowing from Biology, 4th Australian Conference, ACAL 2009, Melbourne, Australia, December 1-4, 2009. Proceedings. Lecture Notes in Computer Science 5865, Springer 2009, ISBN 978-3-642-10426-8 [contents] - [i1]Alan Dorin, Kevin B. Korb:
Improbable Creativity. Computational Creativity: An Interdisciplinary Approach 2009 - 2008
- [c31]Alan Dorin, Kevin B. Korb, Volker Grimm:
Artificial-Life Ecosystems - What are they and what could they become? ALIFE 2008: 173-180 - [c30]Owen Woodberry, Kevin B. Korb, Ann E. Nicholson:
Species Selection of Aging for the Sake of Diversity. ALIFE 2008: 710-716 - [p3]Kevin B. Korb, Ann E. Nicholson
:
The Causal Interpretation of Bayesian Networks. Innovations in Bayesian Networks 2008: 83-116 - 2007
- [j8]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. Environ. Model. Softw. 22(8): 1140-1152 (2007) - [j7]Ying Yang, Geoffrey I. Webb
, Kevin B. Korb, Kai Ming Ting:
Classifying under computational resource constraints: anytime classification using probabilistic estimators. Mach. Learn. 69(1): 35-53 (2007) - [j6]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) - [c29]Lachlan Brumley, Kevin B. Korb, Carlo Kopp:
An Evolutionary Benefit from Misperception in Foraging Behaviour. ACAL 2007: 96-106 - [c28]Kevin B. Korb, Ann E. Nicholson, Lucas R. Hope:
Take Heart II: A Modular Bayesian Decision Support System. ACSW 2007: 203-203 - [c27]Yingying Wen, Kevin B. Korb:
A heuristic algorithm for pattern-to-DAG conversion. Artificial Intelligence and Applications 2007: 428-433 - [c26]Alan Dorin
, Kevin B. Korb:
Building Virtual Ecosystems from Artificial Chemistry. ECAL 2007: 103-112 - [r1]Kevin B. Korb:
Ethics of AI. Encyclopedia of Information Ethics and Security 2007: 279-284 - 2006
- [j5]Kevin B. Korb, Erik P. Nyberg:
The power of intervention. Minds Mach. 16(3): 289-302 (2006) - [c25]Rodney T. O'Donnell, Lloyd Allison
, Kevin B. Korb:
Learning Hybrid Bayesian Networks by MML. Australian Conference on Artificial Intelligence 2006: 192-203 - [c24]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 - [c23]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
- [c22]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 - [c21]Lucas R. Hope, Kevin B. Korb:
An Information-Theoretic Causal Power Theory. Australian Conference on Artificial Intelligence 2005: 805-811 - [p2]Steven Mascaro, Kevin B. Korb, Ann E. Nicholson:
Chapter 13 An ALife Investigation on the Origins of Dimorphic Parental Investments. Recent Advances in Artificial Life 2005 - [p1]Owen Woodberry, Kevin B. Korb, Ann E. Nicholson:
Chapter 24 The Evolution of Aging. Recent Advances in Artificial Life 2005 - 2004
- [b1]Kevin B. Korb, Ann E. Nicholson:
Bayesian Artificial Intelligence. Computer science and data analysis series, Chapman & Hall 2004, ISBN 978-1-58488-387-6, pp. 1-364 - [j4]Kevin B. Korb:
Introduction: Machine Learning as Philosophy of Science. Minds Mach. 14(4): 433-440 (2004) - [c20]Lucas R. Hope, Kevin B. Korb:
A Bayesian Metric for Evaluating Machine Learning Algorithms. Australian Conference on Artificial Intelligence 2004: 991-997 - [c19]Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Carmel A. Pollino:
Parameterising Bayesian Networks. Australian Conference on Artificial Intelligence 2004: 1101-1107 - [c18]Kevin B. Korb, Lucas R. Hope, Ann E. Nicholson, Karl Axnick:
Varieties of Causal Intervention. PRICAI 2004: 322-331 - 2002
- [c17]Lucas R. Hope, Kevin B. Korb:
Bayesian Information Reward. Australian Joint Conference on Artificial Intelligence 2002: 272-283 - 2001
- [c16]Steven Mascaro, Kevin B. Korb, Ann E. Nicholson
:
Suicide as an Evolutionarily Stable Strategy. ECAL 2001: 120-132 - [c15]Kevin B. Korb, Lucas R. Hope, Michelle J. Hughes:
The Evaluation of Predictive Learners: Some Theoretical and Empirical Results. ECML 2001: 276-287 - [c14]Russell J. Kennett, Kevin B. Korb, Ann E. Nicholson
:
Seabreeze Prediction Using Bayesian Networks. PAKDD 2001: 148-153
1990 – 1999
- 1999
- [c13]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 - [c12]Ingrid Zukerman, Richard McConachy, Kevin B. Korb, Deborah Pickett:
Exploratory Interaction with a Bayesian Argumentation System. IJCAI 1999: 1294-1299 - [c11]Julian R. Neil, Kevin B. Korb:
The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors. PAKDD 1999: 432-437 - [c10]Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah:
Bayesian Poker. UAI 1999: 343-350 - [c9]Julian R. Neil, Chris S. Wallace, Kevin B. Korb:
Learning Bayesian Networks with Restricted Causal Interactions. UAI 1999: 486-493 - 1998
- [j3]Kevin B. Korb:
The Frame Problem: An AI Fairy Tale. Minds Mach. 8(3): 317-351 (1998) - [c8]Ingrid Zukerman, Richard McConachy, Kevin B. Korb:
Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis. AAAI/IAAI 1998: 833-838 - [c7]Richard McConachy, Kevin B. Korb, Ingrid Zukerman:
A Bayesian Approach to Automating Argumentation. CoNLL 1998: 91-100 - [c6]Ingrid Zukerman, Richard McConachy, Kevin B. Korb:
Attention During Argument Generation And Presentation. INLG 1998 - [e1]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. Lecture Notes in Computer Science 1394, Springer 1998, ISBN 3-540-64383-4 [contents] - 1997
- [c5]Ingrid Zukerman, Richard McConachy, Kevin B. Korb:
Using Bayesian Networks for Abduction in Argumentation. ICONIP (1) 1997: 572-575 - [c4]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
- [c3]Honghua Dai, Kevin B. Korb, Chris S. Wallace:
The discovery of causal models with small samples. ANZIIS 1996: 27-30 - [c2]Chris S. Wallace, Kevin B. Korb, Honghua Dai:
Causal Discovery via MML. ICML 1996: 516-524 - 1995
- [j2]Kevin B. Korb:
Inductive learning and defeasible inference. J. Exp. Theor. Artif. Intell. 7(3): 291-324 (1995) - 1994
- [c1]Kevin B. Korb:
Infinitely Many Resolutions of Hempel's Paradox. TARK 1994: 138-149 - 1991
- [j1]Kevin B. Korb:
Searle's AI program. J. Exp. Theor. Artif. Intell. 3(4): 283-296 (1991)
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