Paul J. Darwen

Orcid: 0000-0002-3481-0701

According to our database1, Paul J. Darwen authored at least 22 papers between 1994 and 2023.

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Bibliography

2023
Direction of the Difference Between Bayesian Model Averaging and the Best-Fit Model on Scarce-Data Low-Correlation Churn Prediction.
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2019
Bayesian model averaging for river flow prediction.
Appl. Intell., 2019

Cost-Effective Prediction in Medicine and Marketing: Only the Difference Between Bayesian Model Averaging and the Single Best-Fit Model.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
The Varying Success of Bayesian Model Averaging: An Empirical Study of Flood Prediction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017
Bayesian Model Averaging for Streamflow Prediction of Intermittent Rivers.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

2013
Two levels of Bayesian model averaging for optimal control of stochastic systems.
Int. J. Syst. Sci., 2013

2012
Dam Management with Imperfect Models: Bayesian Model Averaging with and Neural Network Control.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

2011
Conformational searching using a population-based incremental learning algorithm.
J. Comput. Chem., 2011

2010
The long tail in Bayesian optimal control in uncertain environments.
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

2002
Co-Evolution in Iterated Prisoner's Dilemma with Intermediate Levels of Cooperation: Application to Missile Defense.
Int. J. Comput. Intell. Appl., 2002

Evolving a Schedule with Batching, Precedence Constraints, and Sequence-Dependent Setup Times: Crossover Needs Building Blocks.
Proceedings of the Developments in Applied Artificial Intelligence, 2002

Search landscape of a realistic single-machine scheduling task: peaks with big differences.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Why more choices cause less cooperation in iterated prisoner's dilemma.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Why co-evolution beats temporal difference learning at Backgammon for a linear architecture, but not a non-linear architecture.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
Computationally intensive and noisy tasks: co-evolutionary learning and temporal difference learning on Backgammon.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999
Unobtrusive Workstation Farming Without Inconveniencing Owners: Learning Backgammon with a Genetic Algorithm.
Proceedings of the International Workshop on Cluster Computing (IWCC '99), 1999

Co-evolutionary learning on noisy tasks.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1997
Speciation as automatic categorical modularization.
IEEE Trans. Evol. Comput., 1997

1996
Every Niching Method has its Niche: Fitness Sharing and Implicit Sharing Compared.
Proceedings of the Parallel Problem Solving from Nature, 1996

Automatic Modularization by Speciation.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

1994
An Experimental Study of N-Person Iterated Prisoner's Dilemma Games.
Informatica (Slovenia), 1994

On Evolving Robust Strategies for Iterated Prisoner's Dilemma.
Proceedings of the Process in Evolutionary Computation, 1994


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