| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | 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.  |
Artificial Intelligence in Medicine  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Kevin B. Korb |
Learning Graphical Models. |
Encyclopedia of Machine Learning |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Lachlan Brumley, Kevin B. Korb, Carlo Kopp |
Using Misperception to Counteract Noise in the Iterated Prisoner's Dilemma. |
ACAL |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Kevin B. Korb, Marcus Randall, Tim Hendtlass (eds.) |
Artificial Life: Borrowing from Biology, 4th Australian Conference, ACAL 2009, Melbourne, Australia, December 1-4, 2009. Proceedings |
ACAL |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Owen Woodberry, Kevin B. Korb, Ann E. Nicholson |
Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics. |
ACAL |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Alan Dorin, Kevin B. Korb |
A New Definition of Creativity. |
ACAL |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Yingying Wen, Kevin B. Korb, Ann E. Nicholson |
DataZapper: Generating Incomplete Datasets. |
ICAART |
2009 |
DBLP BibTeX RDF |
|
| 1 | Kevin B. Korb, Ann E. Nicholson |
The Causal Interpretation of Bayesian Networks. |
Innovations in Bayesian Networks |
2008 |
DBLP DOI BibTeX RDF |
causal discovery, faithfulness, probabilistic causality, causal power, causal responsibility, Bayesian networks, intervention |
| 1 | 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. |
2007 |
DBLP DOI BibTeX RDF |
Machine learning, Performance evaluation of algorithms and systems |
| 1 | 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. |
Environmental Modelling and Software |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Ying Yang, Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting |
Classifying under computational resource constraints: anytime classification using probabilistic estimators. |
Machine Learning |
2007 |
DBLP DOI BibTeX RDF |
Anytime learning, Anytime classification, Bayesian classifiers, Ensemble methods, Probabilistic prediction |
| 1 | Kevin B. Korb |
Ethics of AI. |
Encyclopedia of Information Ethics and Security |
2007 |
DBLP BibTeX RDF |
|
| 1 | Lachlan Brumley, Kevin B. Korb, Carlo Kopp |
An Evolutionary Benefit from Misperception in Foraging Behaviour. |
ACAL |
2007 |
DBLP DOI BibTeX RDF |
Misperception, Evolutionary Simulation, Artificial Life |
| 1 | Kevin B. Korb, Ann E. Nicholson, Lucas R. Hope |
Take Heart II: A Modular Bayesian Decision Support System. |
ACSW Frontiers |
2007 |
DBLP BibTeX RDF |
|
| 1 | Yingying Wen, Kevin B. Korb |
A heuristic algorithm for pattern-to-DAG conversion. |
Artificial Intelligence and Applications |
2007 |
DBLP BibTeX RDF |
|
| 1 | Alan Dorin, Kevin B. Korb |
Building Virtual Ecosystems from Artificial Chemistry. |
ECAL |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb |
Learning Hybrid Bayesian Networks by MML. |
Australian Conference on Artificial Intelligence |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | Lucas R. Hope, Kevin B. Korb |
An Information-Theoretic Causal Power Theory. |
Australian Conference on Artificial Intelligence |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey I. Webb |
Ensemble Selection for SuperParent-One-Dependence Estimators. |
Australian Conference on Artificial Intelligence |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Lucas R. Hope, Kevin B. Korb |
A Bayesian Metric for Evaluating Machine Learning Algorithms. |
Australian Conference on Artificial Intelligence |
2004 |
DBLP DOI BibTeX RDF |
Bayesian evaluation, information reward, Predictive accuracy |
| 1 | Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Carmel A. Pollino |
Parameterising Bayesian Networks. |
Australian Conference on Artificial Intelligence |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Kevin B. Korb, Lucas R. Hope, Ann E. Nicholson, Karl Axnick |
Varieties of Causal Intervention. |
PRICAI |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Lucas R. Hope, Kevin B. Korb |
Bayesian Information Reward. |
Australian Joint Conference on Artificial Intelligence |
2002 |
DBLP DOI BibTeX RDF |
information reward, Bayesian evaluation, evaluation of machine learners, Evaluation metrics, predictive accuracy |
| 1 | Russell J. Kennett, Kevin B. Korb, Ann E. Nicholson |
Seabreeze Prediction Using Bayesian Networks. |
PAKDD |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Kevin B. Korb, Lucas R. Hope, Michelle J. Hughes |
The Evaluation of Predictive Learners: Some Theoretical and Empirical Results. |
ECML |
2001 |
DBLP DOI BibTeX RDF |
information reward, machine learning, Evaluation, predictive accuracy, scoring rules, Kullback-Leibler distance |
| 1 | Steven Mascaro, Kevin B. Korb, Ann E. Nicholson |
Suicide as an Evolutionarily Stable Strategy. |
ECAL |
2001 |
DBLP DOI BibTeX RDF |
evolutionarily stable strategies, ethics, artificial life, social simulation, Altruism |
| 1 | Ingrid Zukerman, Richard McConachy, Kevin B. Korb, Deborah Pickett |
Exploratory Interaction with a Bayesian Argumentation System. |
IJCAI |
1999 |
DBLP BibTeX RDF |
|
| 1 | Julian R. Neil, Kevin B. Korb |
The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors. |
PAKDD |
1999 |
DBLP BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | Julian R. Neil, Chris S. Wallace, Kevin B. Korb |
Learning Bayesian Networks with Restricted Causal Interactions. |
UAI |
1999 |
DBLP BibTeX RDF |
|
| 1 | Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah |
Bayesian Poker. |
UAI |
1999 |
DBLP BibTeX RDF |
|
| 1 | Xindong Wu, Kotagiri Ramamohanarao, Kevin B. Korb (eds.) |
Research and Development in Knowledge Discovery and Data Mining, Second Pacific-Asia Conference, PAKDD-98, Melbourne, Australia, April 15-17, 1998, Proceedings |
PAKDD |
1998 |
DBLP BibTeX RDF |
|
| 1 | Ingrid Zukerman, Richard McConachy, Kevin B. Korb |
Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis. |
AAAI/IAAI |
1998 |
DBLP BibTeX RDF |
|
| 1 | Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xindong Wu |
A Study of Causal Discovery With Weak Links and Small Samples. |
IJCAI |
1997 |
DBLP BibTeX RDF |
|
| 1 | Honghua Dai, Kevin B. Korb, Chris S. Wallace |
The discovery of causal models with small samples. |
ANZIIS |
1996 |
DBLP DOI BibTeX RDF |
|
| 1 | Chris S. Wallace, Kevin B. Korb, Honghua Dai |
Causal Discovery via MML. |
ICML |
1996 |
DBLP BibTeX RDF |
|
| 1 | Kevin B. Korb |
Inductive learning and defeasible inference. |
J. Exp. Theor. Artif. Intell. |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Kevin B. Korb |
Infinitely Many Resolutions of Hempel's Paradox. |
TARK |
1994 |
DBLP BibTeX RDF |
|
| 1 | Kevin B. Korb |
Searle's AI program. |
J. Exp. Theor. Artif. Intell. |
1991 |
DBLP DOI BibTeX RDF |
|
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