| 2007 |
|---|
| 13 | EE | Gavin Brown,
Tim Kovacs,
James A. R. Marshall:
UCSpv: principled voting in UCS rule populations.
GECCO 2007: 1774-1781 |
| 12 | EE | James A. R. Marshall,
Gavin Brown,
Tim Kovacs:
Bayesian estimation of rule accuracy in UCS.
GECCO (Companion) 2007: 2831-2834 |
| 11 | EE | Jeremy Singer,
Gavin Brown,
Ian Watson,
John Cavazos:
Intelligent selection of application-specific garbage collectors.
ISMM 2007: 91-102 |
| 10 | EE | Manuela Zanda,
Gavin Brown,
Giorgio Fumera,
Fabio Roli:
Ensemble Learning in Linearly Combined Classifiers Via Negative Correlation.
MCS 2007: 440-449 |
| 9 | EE | Jeremy Singer,
Gavin Brown,
Mikel Luján,
Ian Watson:
Towards intelligent analysis techniques for object pretenuring.
PPPJ 2007: 203-208 |
| 2006 |
|---|
| 8 | EE | Jeremy Singer,
Gavin Brown:
Return Value Prediction meets Information Theory.
Electr. Notes Theor. Comput. Sci. 164(3): 137-151 (2006) |
| 2005 |
|---|
| 7 | EE | Gavin Brown,
Jeremy L. Wyatt,
Ping Sun:
Between Two Extremes: Examining Decompositions of the Ensemble Objective Function.
Multiple Classifier Systems 2005: 296-305 |
| 6 | EE | Gavin Brown,
Jeremy L. Wyatt,
Rachel Harris,
Xin Yao:
Diversity creation methods: a survey and categorisation.
Information Fusion 6(1): 5-20 (2005) |
| 5 | EE | Gavin Brown,
Jeremy L. Wyatt,
Peter Tino:
Managing Diversity in Regression Ensembles.
Journal of Machine Learning Research 6: 1621-1650 (2005) |
| 2003 |
|---|
| 4 | | Gavin Brown,
Jeremy L. Wyatt:
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods.
ICML 2003: 67-74 |
| 3 | EE | Gavin Brown,
Jeremy L. Wyatt:
Negative Correlation Learning and the Ambiguity Family of Ensemble Methods.
Multiple Classifier Systems 2003: 266-275 |
| 2002 |
|---|
| 2 | EE | Gavin Brown,
Dai Feng,
Sun Yong Sheng:
Kolmogorov Width of Classes of Smooth Functions on the Sphere Sd-1.
J. Complexity 18(4): 1001-1023 (2002) |
| 2001 |
|---|
| 1 | EE | Gavin Brown:
Datagraphs in Algebraic Geometry and K3 Surfaces.
SNSC 2001: 210-224 |
