Kevin B. Korb

According to our database1, Kevin B. Korb authored at least 67 papers between 1991 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Proving the NP-completeness of optimal moral graph triangulation.
CoRR, 2019

The Complexity of Morality: Checking Markov Blanket Consistency with DAGs via Morality.
CoRR, 2019

2018
Inference in the Wild: A Framework for Human Situation Assessment and a Case Study of Air Combat.
Cognitive Science, 2018

2017
Learning Graphical Models.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

iOOBN: A Bayesian Network Modelling Tool Using Object Oriented Bayesian Networks with Inheritance.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Applying Dependency Patterns in Causal Discovery of Latent Variable Models.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
Latent Variable Discovery Using Dependency Patterns.
CoRR, 2016

An empirical study of the co-evolution of utility and predictive ability.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Digital Genesis: Computers, Evolution and Artificial Life.
CoRR, 2015

Omnigram Explorer: A Simple Interactive Tool for the Initial Exploration of Complex Systems.
Proceedings of the Thirteenth European Conference Artificial Life, 2015

Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling.
Proceedings of the Advances in Artificial Intelligence, 2015

2014
Anomaly detection in vessel tracks using Bayesian networks.
Int. J. Approx. Reasoning, 2014

Intrinsic Learning of Dynamic Bayesian Networks.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

2013
A Bayesian Approach to the Validation of Agent-Based Models.
Proceedings of the Ontology, Epistemology, and Teleology for Modeling and Simulation, 2013

Synthetic Population Dynamics: A Model of Household Demography.
J. Artificial Societies and Social Simulation, 2013

2012
Causal Discovery of Dynamic Bayesian Networks.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Incorporating expert knowledge when learning Bayesian network structure: A medical case study.
Artif. Intell. Medicine, 2011

2010
Learning Graphical Models.
Proceedings of the Encyclopedia of Machine Learning, 2010

Network Measures of Ecosystem Complexity.
Proceedings of the Artificial Life XII: Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, 2010

2009
Generating Incomplete Data with DataZapper.
Proceedings of the Agents and Artificial Intelligence - International Conference, 2009

DataZapper: Generating Incomplete Datasets.
Proceedings of the ICAART 2009 - Proceedings of the International Conference on Agents and Artificial Intelligence, Porto, Portugal, January 19, 2009

Improbable Creativity.
Proceedings of the Computational Creativity: An Interdisciplinary Approach, 12.07., 2009

Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics.
Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

A New Definition of Creativity.
Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

Using Misperception to Counteract Noise in the Iterated Prisoner's Dilemma.
Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

2008
The Causal Interpretation of Bayesian Networks.
Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008

Species Selection of Aging for the Sake of Diversity.
Proceedings of the Artificial Life XI: Proceedingshe of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

Artificial-Life Ecosystems - What are they and what could they become?
Proceedings of the Artificial Life XI: Proceedingshe of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007
Ethics of AI.
Proceedings of the Encyclopedia of Information Ethics and Security, 2007

To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators.
IEEE Trans. Knowl. Data Eng., 2007

Classifying under computational resource constraints: anytime classification using probabilistic estimators.
Machine Learning, 2007

Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment.
Environ. Model. Softw., 2007

Building Virtual Ecosystems from Artificial Chemistry.
Proceedings of the Advances in Artificial Life, 9th European Conference, 2007

A heuristic algorithm for pattern-to-DAG conversion.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

Take Heart II: A Modular Bayesian Decision Support System.
Proceedings of the ACSW Frontiers 2007. Proceedings of the Fifth Australasian Symposium on Grid Computing and e-Research (AusGrid 2007), the Fifth Australasian Information Security Workshop (Privacy Enhancing Technologies) (AISW 2007), and the Australasian Workshop on Health Knowledge Management and Discovery (HKMD 2007). Proceedings, Ballarat, Victoria, Australia, January 30, 2007

An Evolutionary Benefit from Misperception in Foraging Behaviour.
Proceedings of the Progress in Artificial Life, Third Australian Conference, 2007

2006
The power of intervention.
Minds and Machines, 2006

To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles.
Proceedings of the Machine Learning: ECML 2006, 2006

Causal Discovery with Prior Information.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Learning Hybrid Bayesian Networks by MML.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
Ensemble Selection for SuperParent-One-Dependence Estimators.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

An Information-Theoretic Causal Power Theory.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
Introduction: Machine Learning as Philosophy of Science.
Minds and Machines, 2004

Varieties of Causal Intervention.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Parameterising Bayesian Networks.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

A Bayesian Metric for Evaluating Machine Learning Algorithms.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Bayesian Artificial Intelligence.
Computer science and data analysis series, Chapman & Hall, ISBN: 978-1-58488-387-6, 2004

2002
Bayesian Information Reward.
Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001
Seabreeze Prediction Using Bayesian Networks.
Proceedings of the Knowledge Discovery and Data Mining, 2001

The Evaluation of Predictive Learners: Some Theoretical and Empirical Results.
Proceedings of the Machine Learning: EMCL 2001, 2001

Suicide as an Evolutionarily Stable Strategy.
Proceedings of the Advances in Artificial Life, 6th European Conference, 2001

1999
Learning Bayesian Networks with Restricted Causal Interactions.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Bayesian Poker.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Exploratory Interaction with a Bayesian Argumentation System.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation.
Proceedings of the Advanced Topics in Artificial Intelligence, 1999

1998
The Frame Problem: An AI Fairy Tale.
Minds and Machines, 1998

Attention During Argument Generation And Presentation.
Proceedings of the Ninth International Workshop on Natural Language Generation, 1998

A Bayesian Approach to Automating Argumentation.
Proceedings of the Joint Conference on New Methods in Language Processing and Computational Natural Language Learning, 1998

Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
A Study of Causal Discovery With Weak Links and Small Samples.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Using Bayesian Networks for Abduction in Argumentation.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1996
Causal Discovery via MML.
Proceedings of the Machine Learning, 1996

The discovery of causal models with small samples.
Proceedings of the Australian New Zealand Conference on Intelligent Information Systems, 1996

1995
Inductive learning and defeasible inference.
J. Exp. Theor. Artif. Intell., 1995

1994
Infinitely Many Resolutions of Hempel's Paradox.
Proceedings of the 5th Conference on Theoretical Aspects of Reasoning about Knowledge, 1994

1991
Searle's AI program.
J. Exp. Theor. Artif. Intell., 1991


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