Kevin B. Korb

Publication Activity (10 Years)

Years Active: 1991-2021
Publications (10 Years): 11

Top Topics

Environmental Data

Minimum Message Length

Causal Discovery

Top Venues

Int. J. Approx. Reason.

Publications

Yang Li, Kevin B. Korb, Lloyd Allison
Markov Blanket Discovery using Minimum Message Length. CoRR (2021)
Rodney T. O'Donnell, Kevin B. Korb, Lloyd Allison
Causal KL: Evaluating Causal Discovery. CoRR (2021)
Yang Li, Lloyd Allison, Kevin B. Korb
The difficulty of being moral. Theor. Comput. Sci. 885 (2021)
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 (2020)
Yang Li, Lloyd Allison, Kevin B. Korb
Proving the NP-completeness of optimal moral graph triangulation. CoRR (2019)
Yang Li, Kevin B. Korb, Lloyd Allison
The Complexity of Morality: Checking Markov Blanket Consistency with DAGs via Morality. CoRR (2019)
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) (2018)
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)
Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro
Applying Dependency Patterns in Causal Discovery of Latent Variable Models. ACALCI (2017)
Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro
Latent Variable Discovery Using Dependency Patterns. CoRR (2016)
Kevin B. Korb, Lachlan Brumley, Carlo Kopp
An empirical study of the co-evolution of utility and predictive ability. CEC (2016)
Rosa F. Ropero, Ann E. Nicholson, Kevin B. Korb
Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling. CAEPIA (2015)
Tim Taylor, Alan Dorin, Kevin B. Korb
Digital Genesis: Computers, Evolution and Artificial Life. CoRR (2015)
Tim Taylor, Alan Dorin, Kevin B. Korb
Omnigram Explorer: A Simple Interactive Tool for the Initial Exploration of Complex Systems. ECAL (2015)
Alex Black, Kevin B. Korb, Ann E. Nicholson
Intrinsic Learning of Dynamic Bayesian Networks. PRICAI (2014)
Steven Mascaro, Ann E. Nicholson, Kevin B. Korb
Anomaly detection in vessel tracks using Bayesian networks. Int. J. Approx. Reason. 55 (1) (2014)
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)
Julian R. Neil, Chris S. Wallace, Kevin B. Korb
Learning Bayesian Networks with Restricted Causal Interactions CoRR (2013)
Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah
Bayesian Poker CoRR (2013)
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)
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) (2011)
Alan Dorin, Kevin B. Korb
Network Measures of Ecosystem Complexity. ALIFE (2010)
Owen Woodberry, Kevin B. Korb, Ann E. Nicholson
Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics. ACAL (2009)
Lachlan Brumley, Kevin B. Korb, Carlo Kopp
Using Misperception to Counteract Noise in the Iterated Prisoner's Dilemma. ACAL (2009)
Yingying Wen, Kevin B. Korb, Ann E. Nicholson
DataZapper: Generating Incomplete Datasets. ICAART (2009)
Alan Dorin, Kevin B. Korb
Improbable Creativity. Computational Creativity: An Interdisciplinary Approach (2009)
Yingying Wen, Kevin B. Korb, Ann E. Nicholson
Generating Incomplete Data with DataZapper. ICAART (Revised Selected Papers) (2009)
Alan Dorin, Kevin B. Korb
. ACAL (2009)
Owen Woodberry, Kevin B. Korb, Ann E. Nicholson
Species Selection of Aging for the Sake of Diversity. ALIFE (2008)
Alan Dorin, Kevin B. Korb, Volker Grimm
Artificial-Life Ecosystems - What are they and what could they become? ALIFE (2008)
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) (2007)
Alan Dorin, Kevin B. Korb
Building Virtual Ecosystems from Artificial Chemistry. ECAL (2007)
Lachlan Brumley, Kevin B. Korb, Carlo Kopp
An Evolutionary Benefit from Misperception in Foraging Behaviour. ACAL (2007)
Kevin B. Korb, Ann E. Nicholson, Lucas R. Hope
Take Heart II: A Modular Bayesian Decision Support System. ACSW (2007)
Yingying Wen, Kevin B. Korb
A heuristic algorithm for pattern-to-DAG conversion. Artificial Intelligence and Applications (2007)
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) (2007)
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) (2007)
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)
Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb
Learning Hybrid Bayesian Networks by MML. Australian Conference on Artificial Intelligence (2006)
Kevin B. Korb, Erik P. Nyberg
The power of intervention. Minds Mach. 16 (3) (2006)
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)
Lucas R. Hope, Kevin B. Korb
An Information-Theoretic Causal Power Theory. Australian Conference on Artificial Intelligence (2005)
Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey I. Webb
Ensemble Selection for SuperParent-One-Dependence Estimators. Australian Conference on Artificial Intelligence (2005)
Lucas R. Hope, Kevin B. Korb
A Bayesian Metric for Evaluating Machine Learning Algorithms. Australian Conference on Artificial Intelligence (2004)
Kevin B. Korb, Lucas R. Hope, Ann E. Nicholson, Karl Axnick
Varieties of Causal Intervention. PRICAI (2004)
Kevin B. Korb
Introduction: Machine Learning as Philosophy of Science. Minds Mach. 14 (4) (2004)
Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Carmel A. Pollino
Parameterising Bayesian Networks. Australian Conference on Artificial Intelligence (2004)
Lucas R. Hope, Kevin B. Korb
Bayesian Information Reward. Australian Joint Conference on Artificial Intelligence (2002)
Steven Mascaro, Kevin B. Korb, Ann E. Nicholson
Suicide as an Evolutionarily Stable Strategy. ECAL (2001)
Russell J. Kennett, Kevin B. Korb, Ann E. Nicholson
Seabreeze Prediction Using Bayesian Networks. PAKDD (2001)
Kevin B. Korb, Lucas R. Hope, Michelle J. Hughes
The Evaluation of Predictive Learners: Some Theoretical and Empirical Results. ECML (2001)
Julian R. Neil, Kevin B. Korb
The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors. PAKDD (1999)
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)
Julian R. Neil, Chris S. Wallace, Kevin B. Korb
Learning Bayesian Networks with Restricted Causal Interactions. UAI (1999)
Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah
Bayesian Poker. UAI (1999)
Ingrid Zukerman, Richard McConachy, Kevin B. Korb, Deborah Pickett
Exploratory Interaction with a Bayesian Argumentation System. IJCAI (1999)
Richard McConachy, Kevin B. Korb, Ingrid Zukerman
A Bayesian Approach to Automating Argumentation. CoNLL (1998)
Kevin B. Korb
The Frame Problem: An AI Fairy Tale. Minds Mach. 8 (3) (1998)
Ingrid Zukerman, Richard McConachy, Kevin B. Korb
Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis. AAAI/IAAI (1998)
Ingrid Zukerman, Richard McConachy, Kevin B. Korb
Attention During Argument Generation And Presentation. INLG (1998)
Ingrid Zukerman, Richard McConachy, Kevin B. Korb
Using Bayesian Networks for Abduction in Argumentation. ICONIP (1) (1997)
Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xindong Wu
A Study of Causal Discovery With Weak Links and Small Samples. IJCAI (1997)
Chris S. Wallace, Kevin B. Korb, Honghua Dai
Causal Discovery via MML. ICML (1996)
Honghua Dai, Kevin B. Korb, Chris S. Wallace
The discovery of causal models with small samples. ANZIIS (1996)
Kevin B. Korb
Inductive learning and defeasible inference. J. Exp. Theor. Artif. Intell. 7 (3) (1995)
Kevin B. Korb
Infinitely Many Resolutions of Hempel's Paradox. TARK (1994)
Kevin B. Korb
Searle's AI program. J. Exp. Theor. Artif. Intell. 3 (4) (1991)