Kevin B. Korb

77 papers A* 2A 2B 11C 3Journal 22Unranked 28
YearRankTypeTitle / Venue / Authors
2021 J jnl
Causal KL: Evaluating Causal Discovery.
CoRR
Rodney T. O'Donnell, Kevin B. Korb, Lloyd Allison
2021 J jnl
Markov Blanket Discovery using Minimum Message Length.
CoRR
Yang Li, Kevin B. Korb, Lloyd Allison
2021 J jnl
The difficulty of being moral.
Theor. Comput. Sci.
Yang Li, Lloyd Allison, Kevin B. Korb
2020 J jnl
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning.
CoRR
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
2019 J jnl
Proving the NP-completeness of optimal moral graph triangulation.
CoRR
Yang Li, Lloyd Allison, Kevin B. Korb
2019 J jnl
The Complexity of Morality: Checking Markov Blanket Consistency with DAGs via Morality.
CoRR
Yang Li, Kevin B. Korb, Lloyd Allison
2018 J jnl
Inference in the Wild: A Framework for Human Situation Assessment and a Case Study of Air Combat.
Cogn. Sci.
Ken I. McAnally, Catherine E. Davey, Daniel White, Murray Stimson, Steven Mascaro, Kevin B. Korb
2017 — conf
Applying Dependency Patterns in Causal Discovery of Latent Variable Models.
ACALCI
Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro
2017 — ch.
Learning Graphical Models.
Encyclopedia of Machine Learning and Data Mining
Kevin B. Korb
2017 B conf
iOOBN: A Bayesian Network Modelling Tool Using Object Oriented Bayesian Networks with Inheritance.
ICTAI
Md. Samiullah, Thao Xuan Hoang, David W. Albrecht, Ann E. Nicholson, Kevin B. Korb
2016 B conf
An empirical study of the co-evolution of utility and predictive ability.
CEC
Kevin B. Korb, Lachlan Brumley, Carlo Kopp
2016 J jnl
Latent Variable Discovery Using Dependency Patterns.
CoRR
Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro
2015 J jnl
Digital Genesis: Computers, Evolution and Artificial Life.
CoRR
Tim Taylor, Alan Dorin, Kevin B. Korb
2015 — conf
Omnigram Explorer: A Simple Interactive Tool for the Initial Exploration of Complex Systems.
ECAL
Tim Taylor, Alan Dorin, Kevin B. Korb
2015 — conf
Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling.
CAEPIA
Rosa F. Ropero, Ann E. Nicholson, Kevin B. Korb
2014 J jnl
Anomaly detection in vessel tracks using Bayesian networks.
Int. J. Approx. Reason.
Steven Mascaro, Ann E. Nicholson, Kevin B. Korb
2014 B conf
Intrinsic Learning of Dynamic Bayesian Networks.
PRICAI
Alex Black, Kevin B. Korb, Ann E. Nicholson
2013 — ch.
A Bayesian Approach to the Validation of Agent-Based Models.
Ontology, Epistemology, and Teleology for Modeling and Simulation
Kevin B. Korb, Nicholas Geard, Alan Dorin
2013 J jnl
Bayesian Poker
CoRR
Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah
2013 J jnl
Learning Bayesian Networks with Restricted Causal Interactions
CoRR
Julian R. Neil, Chris S. Wallace, Kevin B. Korb
2013 J jnl
Synthetic Population Dynamics: A Model of Household Demography.
J. Artif. Soc. Soc. Simul.
Nicholas Geard, James M. McCaw, Alan Dorin, Kevin B. Korb, Jodie McVernon
2012 — conf
Causal Discovery of Dynamic Bayesian Networks.
Australasian Conference on Artificial Intelligence
Cora Beatriz Pérez-Ariza, Ann E. Nicholson, Kevin B. Korb, Steven Mascaro, Chao Heng Hu
2011 J jnl
Incorporating expert knowledge when learning Bayesian network structure: A medical case study.
Artif. Intell. Medicine
M. Julia Flores, Ann E. Nicholson, Andrew Brunskill, Kevin B. Korb, Steven Mascaro
2010 — ch.
Learning Graphical Models.
Encyclopedia of Machine Learning
Kevin B. Korb
2010 C conf
Network Measures of Ecosystem Complexity.
ALIFE
Alan Dorin, Kevin B. Korb
2009 — conf
A New Definition of
ACAL
Alan Dorin, Kevin B. Korb
2009 — ed.
Artificial Life: Borrowing from Biology, 4th Australian Conference, ACAL 2009, Melbourne, Australia, December 1-4, 2009. Proceedings
ACAL
Kevin B. Korb, Marcus Randall, Tim Hendtlass
2009 B conf
DataZapper: Generating Incomplete Datasets.
ICAART
Yingying Wen, Kevin B. Korb, Ann E. Nicholson
2009 — conf
Generating Incomplete Data with DataZapper.
ICAART (Revised Selected Papers)
Yingying Wen, Kevin B. Korb, Ann E. Nicholson
2009 — conf
Improbable Creativity.
Computational Creativity: An Interdisciplinary Approach
Alan Dorin, Kevin B. Korb
2009 — conf
Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics.
ACAL
Owen Woodberry, Kevin B. Korb, Ann E. Nicholson
2009 — conf
Using Misperception to Counteract Noise in the Iterated Prisoner's Dilemma.
ACAL
Lachlan Brumley, Kevin B. Korb, Carlo Kopp
2008 C conf
Artificial-Life Ecosystems - What are they and what could they become?
ALIFE
Alan Dorin, Kevin B. Korb, Volker Grimm
2008 C conf
Species Selection of Aging for the Sake of Diversity.
ALIFE
Owen Woodberry, Kevin B. Korb, Ann E. Nicholson
2008 — ch.
The Causal Interpretation of Bayesian Networks.
Innovations in Bayesian Networks
Kevin B. Korb, Ann E. Nicholson
2007 — conf
A heuristic algorithm for pattern-to-DAG conversion.
Artificial Intelligence and Applications
Yingying Wen, Kevin B. Korb
2007 — conf
An Evolutionary Benefit from Misperception in Foraging Behaviour.
ACAL
Lachlan Brumley, Kevin B. Korb, Carlo Kopp
2007 — conf
Building Virtual Ecosystems from Artificial Chemistry.
ECAL
Alan Dorin, Kevin B. Korb
2007 J jnl
Classifying under computational resource constraints: anytime classification using probabilistic estimators.
Mach. Learn.
Ying Yang, Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting
2007 — ch.
Ethics of AI.
Encyclopedia of Information Ethics and Security
Kevin B. Korb
2007 J jnl
Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment.
Environ. Model. Softw.
Carmel A. Pollino, Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Barry T. Hart
2007 — conf
Take Heart II: A Modular Bayesian Decision Support System.
ACSW
Kevin B. Korb, Ann E. Nicholson, Lucas R. Hope
2007 J jnl
To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators.
IEEE Trans. Knowl. Data Eng.
Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting
2006 — conf
Causal Discovery with Prior Information.
Australian Conference on Artificial Intelligence
Rodney T. O'Donnell, Ann E. Nicholson, B. Han, Kevin B. Korb, M. J. Alam, Lucas R. Hope
2006 — conf
Learning Hybrid Bayesian Networks by MML.
Australian Conference on Artificial Intelligence
Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb
2006 J jnl
The power of intervention.
Minds Mach.
Kevin B. Korb, Erik P. Nyberg
2006 — conf
To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles.
ECML
Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting
2005 — conf
An Information-Theoretic Causal Power Theory.
Australian Conference on Artificial Intelligence
Lucas R. Hope, Kevin B. Korb
2005 — ch.
Chapter 13 An ALife Investigation on the Origins of Dimorphic Parental Investments.
Recent Advances in Artificial Life
Steven Mascaro, Kevin B. Korb, Ann E. Nicholson
2005 — ch.
Chapter 24 The Evolution of Aging.
Recent Advances in Artificial Life
Owen Woodberry, Kevin B. Korb, Ann E. Nicholson
2005 — conf
Ensemble Selection for SuperParent-One-Dependence Estimators.
Australian Conference on Artificial Intelligence
Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey I. Webb
2004 — conf
A Bayesian Metric for Evaluating Machine Learning Algorithms.
Australian Conference on Artificial Intelligence
Lucas R. Hope, Kevin B. Korb
2004 — book
Bayesian Artificial Intelligence.
Kevin B. Korb, Ann E. Nicholson
2004 J jnl
Introduction: Machine Learning as Philosophy of Science.
Minds Mach.
Kevin B. Korb
2004 — conf
Parameterising Bayesian Networks.
Australian Conference on Artificial Intelligence
Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Carmel A. Pollino
2004 B conf
Varieties of Causal Intervention.
PRICAI
Kevin B. Korb, Lucas R. Hope, Ann E. Nicholson, Karl Axnick
2002 — conf
Bayesian Information Reward.
Australian Joint Conference on Artificial Intelligence
Lucas R. Hope, Kevin B. Korb
2001 B conf
Seabreeze Prediction Using Bayesian Networks.
PAKDD
Russell J. Kennett, Kevin B. Korb, Ann E. Nicholson
2001 — conf
Suicide as an Evolutionarily Stable Strategy.
ECAL
Steven Mascaro, Kevin B. Korb, Ann E. Nicholson
2001 — conf
The Evaluation of Predictive Learners: Some Theoretical and Empirical Results.
ECML
Kevin B. Korb, Lucas R. Hope, Michelle J. Hughes
1999 A conf
Bayesian Poker.
UAI
Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah
1999 A* conf
Exploratory Interaction with a Bayesian Argumentation System.
IJCAI
Ingrid Zukerman, Richard McConachy, Kevin B. Korb, Deborah Pickett
1999 — conf
Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation.
Australian Joint Conference on Artificial Intelligence
Murlikrishna Viswanathan, Chris S. Wallace, David L. Dowe, Kevin B. Korb
1999 A conf
Learning Bayesian Networks with Restricted Causal Interactions.
UAI
Julian R. Neil, Chris S. Wallace, Kevin B. Korb
1999 B conf
The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors.
PAKDD
Julian R. Neil, Kevin B. Korb
1998 B conf
A Bayesian Approach to Automating Argumentation.
CoNLL
Richard McConachy, Kevin B. Korb, Ingrid Zukerman
1998 B conf
Attention During Argument Generation And Presentation.
INLG
Ingrid Zukerman, Richard McConachy, Kevin B. Korb
1998 — conf
Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis.
AAAI/IAAI
Ingrid Zukerman, Richard McConachy, Kevin B. Korb
1998 B ed.
Research and Development in Knowledge Discovery and Data Mining, Second Pacific-Asia Conference, PAKDD-98, Melbourne, Australia, April 15-17, 1998, Proceedings
PAKDD
Xindong Wu, Kotagiri Ramamohanarao, Kevin B. Korb
1998 J jnl
The Frame Problem: An AI Fairy Tale.
Minds Mach.
Kevin B. Korb
1997 — conf
A Study of Causal Discovery With Weak Links and Small Samples.
IJCAI
Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xindong Wu
1997 — conf
Using Bayesian Networks for Abduction in Argumentation.
ICONIP (1)
Ingrid Zukerman, Richard McConachy, Kevin B. Korb
1996 A* conf
Causal Discovery via MML.
ICML
Chris S. Wallace, Kevin B. Korb, Honghua Dai
1996 — conf
The discovery of causal models with small samples.
ANZIIS
Honghua Dai, Kevin B. Korb, Chris S. Wallace
1995 J jnl
Inductive learning and defeasible inference.
J. Exp. Theor. Artif. Intell.
Kevin B. Korb
1994 B conf
Infinitely Many Resolutions of Hempel's Paradox.
TARK
Kevin B. Korb
1991 J jnl
Searle's AI program.
J. Exp. Theor. Artif. Intell.
Kevin B. Korb