Robert J. Durrant

18 papers A* 1A 1B 4C 2Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2021 J jnl
Learning from evolving data streams through ensembles of random patches.
Knowl. Inf. Syst.
Heitor Murilo Gomes, Jesse Read, Albert Bifet, Robert J. Durrant
2020 J jnl
Structure from Randomness in Halfspace Learning with the Zero-One Loss.
J. Artif. Intell. Res.
Ata Kabán, Robert J. Durrant
2018 J jnl
Foreword: special issue for the journal track of the 9th Asian Conference on Machine Learning (ACML 2017).
Mach. Learn.
Wee Sun Lee, Robert J. Durrant
2018 B conf
Maximum Gradient Dimensionality Reduction.
ICPR
Xianghui Luo, Robert J. Durrant
2017 J jnl
Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016).
Mach. Learn.
Robert J. Durrant, Kee-Eung Kim, Geoffrey Holmes, Stephen Marsland, Masashi Sugiyama, Zhi-Hua Zhou
2017 J jnl
Maximum Margin Principal Components.
CoRR
Xianghui Luo, Robert J. Durrant
2016 B conf
How effective is Cauchy-EDA in high dimensions?
CEC
Momodou L. Sanyang, Robert J. Durrant, Ata Kabán
2016 C ed.
Proceedings of The 8th Asian Conference on Machine Learning, ACML 2016, Hamilton, New Zealand, November 16-18, 2016.
ACML
Robert J. Durrant, Kee-Eung Kim
2016 J jnl
Toward Large-Scale Continuous EDA: A Random Matrix Theory Perspective.
Evol. Comput.
Ata Kabán, Jakramate Bootkrajang, Robert J. Durrant
2015 J jnl
Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions.
Mach. Learn.
Robert J. Durrant, Ata Kabán
2013 B conf
Dimension-Adaptive Bounds on Compressive FLD Classification.
ALT
Ata Kabán, Robert J. Durrant
2013 C conf
Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions.
ACML
Robert J. Durrant, Ata Kabán
2013 — conf
Sharp Generalization Error Bounds for Randomly-projected Classifiers.
ICML (3)
Robert J. Durrant, Ata Kabán
2012 A conf
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space.
AISTATS
Robert J. Durrant, Ata Kabán
2010 B conf
A Bound on the Performance of LDA in Randomly Projected Data Spaces.
ICPR
Robert J. Durrant, Ata Kabán
2010 A* conf
Compressed fisher linear discriminant analysis: classification of randomly projected data.
KDD
Robert J. Durrant, Ata Kabán
2009 J jnl
When is 'nearest neighbour' meaningful: A converse theorem and implications.
J. Complex.
Robert J. Durrant, Ata Kabán
2008 — conf
Learning with L
ECML/PKDD (1)
Ata Kabán, Robert J. Durrant