Paul J. Darwen - researchr alias

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Viewing Publication 1 - 22 from 22

2023

Direction of the Difference Between Bayesian Model Averaging and the Best-Fit Model on Scarce-Data Low-Correlation Churn PredictionPaul J. Darwen. aciids 2023: 210-223 [doi]

2019

Cost-Effective Prediction in Medicine and Marketing: Only the Difference Between Bayesian Model Averaging and the Single Best-Fit ModelPaul J. Darwen. ictai 2019: 1282-1287 [doi]

Bayesian model averaging for river flow predictionPaul J. Darwen. apin, 49(1):103-111, 2019. [doi]

2018

The Varying Success of Bayesian Model Averaging: An Empirical Study of Flood PredictionPaul J. Darwen. ssci 2018: 1764-1771 [doi]

2017

Bayesian Model Averaging for Streamflow Prediction of Intermittent RiversPaul J. Darwen. ieaaie 2017: 227-236 [doi]

2013

Two levels of Bayesian model averaging for optimal control of stochastic systemsPaul J. Darwen. ijsysc, 44(2):201-213, 2013. [doi]

2012

Dam Management with Imperfect Models: Bayesian Model Averaging with and Neural Network ControlPaul J. Darwen. icic 2012: 360-366 [doi]

2010

The long tail in Bayesian optimal control in uncertain environmentsPaul J. Darwen. nabic 2010: 572-579 [doi]

2002

Evolving a Schedule with Batching, Precedence Constraints, and Sequence-Dependent Setup Times: Crossover Needs Building BlocksPaul J. Darwen. ieaaie 2002: 525-535 [doi]

Search landscape of a realistic single-machine scheduling task: peaks with big differencesPaul J. Darwen. cec 2002: 1191-1196 [doi]

Co-Evolution in Iterated Prisoner s Dilemma with Intermediate Levels of Cooperation: Application to Missile DefensePaul J. Darwen, Xin Yao. ijcia, 2(1):83-107, 2002. [doi]

2001

Why co-evolution beats temporal difference learning at Backgammon for a linear architecture, but not a non-linear architecturePaul J. Darwen. cec 2001: 1003-1010 [doi]

Why more choices cause less cooperation in iterated prisoner's dilemmaPaul J. Darwen, Xin Yao 0001. cec 2001: 987-994 [doi]

2000

Computationally intensive and noisy tasks: co-evolutionary learning and temporal difference learning on BackgammonPaul J. Darwen. cec 2000: 872-879 [doi]

1999

Unobtrusive Workstation Farming Without Inconveniencing Owners: Learning Backgammon with a Genetic AlgorithmPaul J. Darwen. iwcc 1999: 303-311 [doi]

Co-evolutionary learning on noisy tasksPaul J. Darwen, Jordan B. Pollack. cec 1999: 1724-1731 [doi]

1997

Speciation as automatic categorical modularizationPaul J. Darwen, Xin Yao. tec, 1(2):101-108, 1997.

1996

Every Niching Method has its Niche: Fitness Sharing and Implicit Sharing ComparedPaul J. Darwen, Xin Yao. ppsn 1996: 398-407

Automatic Modularization by SpeciationPaul J. Darwen, Xin Yao. icec 1996: 88-93

1994

On Evolving Robust Strategies for Iterated Prisoner s DilemmaPaul J. Darwen, Xin Yao. evoW 1995: 276-292

An Experimental Study of N-Person Iterated Prisoner s Dilemma GamesXin Yao, Paul J. Darwen. informaticaSI, 18(4), 1994.

An Experimental Study of N-Person Iterated Prisoner s Dilemma GamesXin Yao, Paul J. Darwen. evoW 1995: 90-108

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