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William G. Macready
2010 – today
- 2012
[j7]Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready: QBoost: Large Scale Classifier Training with Adiabatic Quantum Optimization. Journal of Machine Learning Research - Proceedings Track 25: 333-348 (2012)- 2010
[i3]Geordie Rose, Kamran Karimi, Neil G. Dickson, Firas Hamze, M. H. S. Amin, Marshall Drew-Brook, Fabián A. Chudak, Paul I. Bunyk, William G. Macready: Investigating the Performance of an Adiabatic Quantum Optimization Processor. CoRR abs/1006.4147 (2010)
2000 – 2009
- 2009
[i2]Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready: Training a Large Scale Classifier with the Quantum Adiabatic Algorithm. CoRR abs/0912.0779 (2009)- 2008
[i1]William G. Macready, David Wolpert: Distributed Constrained Optimization with Semicoordinate Transformations. CoRR abs/0811.0823 (2008)- 2007
[j6]David H. Wolpert, William G. Macready: Using self-dissimilarity to quantify complexity. Complexity 12(3): 77-85 (2007)- 2005
[j5]David H. Wolpert, William G. Macready: Coevolutionary free lunches. IEEE Trans. Evolutionary Computation 9(6): 721-735 (2005)- 2004
[c2]Robert B. Gramacy, Herbert K. H. Lee, William G. Macready: Parameter space exploration with Gaussian process trees. ICML 2004- 2001
[j4]Mario Köppen, David Wolpert, William G. Macready: Remarks on a recent paper on the "no free lunch" theorems. IEEE Trans. Evolutionary Computation 5(3): 295-296 (2001)
1990 – 1999
- 1999
[j3]David Wolpert, William G. Macready: An Efficient Method To Estimate Bagging's Generalization Error. Machine Learning 35(1): 41-55 (1999)- 1998
[j2]William G. Macready, David Wolpert: Bandit problems and the exploration/exploitation tradeoff. IEEE Trans. Evolutionary Computation 2(1): 2-22 (1998)
[c1]William G. Macready: Tailoring Mutation to Landscape Properties. Evolutionary Programming 1998: 355-364- 1997
[j1]David Wolpert, William G. Macready: No free lunch theorems for optimization. IEEE Trans. Evolutionary Computation 1(1): 67-82 (1997)
Coauthor Index
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last updated on 2013-01-03 22:10 CET by the dblp team



