Robert J. Durrant

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 8

Top Topics

Dimensionality Reduction

Generalization Error Bounds

Top Venues

Publications

Heitor Murilo Gomes, Jesse Read, Albert Bifet, Robert J. Durrant
Learning from evolving data streams through ensembles of random patches. Knowl. Inf. Syst. 63 (7) (2021)
Ata Kabán, Robert J. Durrant
Structure from Randomness in Halfspace Learning with the Zero-One Loss. J. Artif. Intell. Res. 69 (2020)
Wee Sun Lee, Robert J. Durrant
Foreword: special issue for the journal track of the 9th Asian Conference on Machine Learning (ACML 2017). Mach. Learn. 107 (4) (2018)
Xianghui Luo, Robert J. Durrant
Maximum Gradient Dimensionality Reduction. ICPR (2018)
Robert J. Durrant, Kee-Eung Kim, Geoffrey Holmes, Stephen Marsland, Masashi Sugiyama, Zhi-Hua Zhou
Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016). Mach. Learn. 106 (5) (2017)
Xianghui Luo, Robert J. Durrant
Maximum Margin Principal Components. CoRR (2017)
Momodou L. Sanyang, Robert J. Durrant, Ata Kabán
How effective is Cauchy-EDA in high dimensions? CEC (2016)
Ata Kabán, Jakramate Bootkrajang, Robert J. Durrant
Toward Large-Scale Continuous EDA: A Random Matrix Theory Perspective. Evol. Comput. 24 (2) (2016)
Robert J. Durrant, Ata Kabán
Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions. Mach. Learn. 99 (2) (2015)
Ata Kabán, Robert J. Durrant
Dimension-Adaptive Bounds on Compressive FLD Classification. ALT (2013)
Robert J. Durrant, Ata Kabán
Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions. ACML (2013)
Robert J. Durrant, Ata Kabán
Sharp Generalization Error Bounds for Randomly-projected Classifiers. ICML (3) (2013)
Robert J. Durrant, Ata Kabán
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space. AISTATS (2012)
Robert J. Durrant, Ata Kabán
Compressed fisher linear discriminant analysis: classification of randomly projected data. KDD (2010)
Robert J. Durrant, Ata Kabán
A Bound on the Performance of LDA in Randomly Projected Data Spaces. ICPR (2010)
Robert J. Durrant, Ata Kabán
When is 'nearest neighbour' meaningful: A converse theorem and implications. J. Complex. 25 (4) (2009)
Ata Kabán, Robert J. Durrant
-Norm Regularisation with Exponentially Many Irrelevant Features. ECML/PKDD (1) (2008)