Marcus Frean

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Rohitash ChandraUNSWVerified email at unsw.edu.au
Mengjie Zhang，FRSNZ, FEngNZ, FIE...Professor of Computer Science, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
Jonathan BaxterVerified email at baxters.biz
Llew MasonAmazonVerified email at amazon.com
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Gareth BaxterDepartment of Physics & I3N, University of AveiroVerified email at ua.pt
Joseph BulbuliaVictoria University of WellingtonVerified email at vuw.ac.nz
Marcus GallagherUniversity of QueenslandVerified email at uq.edu.au
Edward AbrahamDragonfly Data ScienceVerified email at dragonfly.co.nz
James NobleCreative Research & ProgrammingVerified email at acm.org
Zakwan Al-ArnaoutAmerican University of the Middle EastVerified email at aum.edu.kw
Anthony RobinsComputer Science, University of OtagoVerified email at cs.otago.ac.nz
David BalduzziXTX MarketsVerified email at google.com
Paul TealVictoria University of WellingtonVerified email at vuw.ac.nz
Alex PotaninAssociate Professor, Australian National UniversityVerified email at anu.edu.au
Robert BiddleProfessor of Computer Science and Cognitive Science, Carleton UniversityVerified email at hotsoft.carleton.ca
Brian McWilliamsResearch Scientist, DeepMindVerified email at google.com
Matt VisserProfessor of Mathematics, Victoria University of WellingtonVerified email at msor.vuw.ac.nz
Ewan TemperoUniversity of Auckland, Victoria University of WellingtonVerified email at auckland.ac.nz
Hayden MeltonLSEG (Deakin University, University of Auckland)Verified email at cs.auckland.ac.nz

Marcus Frean

Victoria University of Wellington

Verified email at ecs.vuw.ac.nz - Homepage

Artificial intelligence machine learning theoretical biology


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Boosting algorithms as gradient descent L Mason, J Baxter, P Bartlett, M Frean Advances in neural information processing systems 12, 1999	1249	1999
The upstart algorithm: A method for constructing and training feedforward neural networks M Frean Neural computation 2 (2), 198-209, 1990	798	1990
Functional gradient techniques for combining hypotheses L Mason, J Baxter, PL Bartlett, M Frean Advances in Neural Information Processing Systems, 221-246, 1999	361	1999
Dependent gaussian processes P Boyle, M Frean Advances in neural information processing systems 17, 2004	341	2004
Scale-free geometry in OO programs A Potanin, J Noble, M Frean, R Biddle Communications of the ACM 48 (5), 99-103, 2005	292	2005
Rock–scissors–paper and the survival of the weakest M Frean, ER Abraham Proceedings of the Royal Society of London. Series B: Biological Sciences …, 2001	278	2001
The shattered gradients problem: If resnets are the answer, then what is the question? D Balduzzi, M Frean, L Leary, JP Lewis, KWD Ma, B McWilliams International Conference on Machine Learning, 342-350, 2017	261	2017
Understanding the shape of Java software G Baxter, M Frean, J Noble, M Rickerby, H Smith, M Visser, H Melton, ... Proceedings of the 21st annual ACM SIGPLAN conference on Object-oriented …, 2006	252	2006
The prisoner’s dilemma without synchrony MR Frean Proceedings of the Royal Society of London. Series B: Biological Sciences …, 1994	155	1994
A" thermal" perceptron learning rule M Frean Neural Computation 4 (6), 946-957, 1992	133	1992
The effect of population structure on the rate of evolution M Frean, PB Rainey, A Traulsen Proceedings of the Royal Society B: Biological Sciences 280 (1762), 20130211, 2013	103	2013
Real-valued Evolutionary Optimization using a Flexible Probability Density Estimator. M Gallagher, MR Frean, T Downs GECCO 99, 840-846, 1999	102	1999
The evolution of degrees of cooperation M Frean Journal of theoretical biology 182 (4), 549-559, 1996	91	1996
Using Gaussian processes to optimize expensive functions M Frean, P Boyle Australasian Joint Conference on Artificial Intelligence, 258-267, 2008	80	2008
Population-based continuous optimization, probabilistic modelling and mean shift M Gallagher, M Frean Evolutionary Computation 13 (1), 29-42, 2005	51	2005
Small nets and short paths: Optimising neural computation MR Frean University of Edinburgh, 1990	47	1990
On the issue of separability for problem decomposition in cooperative neuro-evolution R Chandra, M Frean, M Zhang Neurocomputing 87, 33-40, 2012	45	2012
Multiple output Gaussian process regression P Boyle, M Frean	40	2005
Encoding subcomponents in cooperative co-evolutionary recurrent neural networks R Chandra, M Frean, M Zhang, CW Omlin Neurocomputing 74 (17), 3223-3234, 2011	35	2011
Gaussian process dynamical models for nonparametric speech representation and synthesis GE Henter, MR Frean, WB Kleijn 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012	34	2012

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