Bob Durrant
Cited by
Cited by
When is "nearest neighbour" meaningful: A converse theorem and implications
RJ Durrant, A Kabán
Journal of Complexity 25 (4), 385-397, 2009
Random projections as regularizers: Learning a linear discriminant from fewer observations than dimensions
R Durrant, A Kabán
Machine Learning 99 (2015), 257–286, 2014
Towards Large Scale Continuous EDA: A Random Matrix Theory Perspective
A Kabán, J Bootkrajang, RJ Durrant
Evolutionary Computation 24 (2), 255-291, 2016
Compressed fisher linear discriminant analysis: classification of randomly projected data
RJ Durrant, A Kabán
Proceedings 16th ACM SIGKDD international conference on Knowledge discovery …, 2010
Sharp Generalization Error Bounds for Randomly-projected Classifiers
RJ Durrant, A Kaban
Proceedings 30th International Conference on Machine Learning, Atlanta …, 2013
Learning with L q< 1 vs L 1-Norm Regularisation with Exponentially Many Irrelevant Features
A Kabán, R Durrant
Proceedings European Conference on Machine Learning and Knowledge Discovery …, 2008
A tight bound on the performance of Fisher’s linear discriminant in randomly projected data spaces
RJ Durrant, A Kabán
Pattern Recognition Letters 33 (7), 911-919, 2011
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space
RJ Durrant, A Kabán
Proceedings 15th International Conference on Artificial Intelligence and …, 2012
Rapid molecular diagnosis of the Mycobacterium tuberculosis Rangipo strain responsible for the largest recurring TB cluster in New Zealand
CV Mulholland, A Ruthe, RT Cursons, R Durrant, N Karalus, K Coley, ...
Diagnostic Microbiology and Infectious Disease 88 (2), 138-140, 2017
Learning from evolving data streams through ensembles of random patches
HM Gomes, J Read, A Bifet, RJ Durrant
Knowledge and Information Systems 63 (7), 1597-1625, 2021
Linear dimensionality reduction in linear time: Johnson-lindenstrauss-type guarantees for random subspace
N Lim, RJ Durrant
arXiv preprint arXiv:1705.06408, 2017
How effective is Cauchy-EDA in high dimensions?
ML Sanyang, RJ Durrant, A Kabán
Proc. of the IEEE Congress on Evolutionary Computation (IEEE CEC 2016), 2016
Dimension-Adaptive Bounds on Compressive FLD Classification
A Kabán, RJ Durrant
Proceedings 24th International Conference on Algorithmic Learning Theory …, 2013
Learning in high dimensions with projected linear discriminants
RJ Durrant
University of Birmingham, 2013
Structure from randomness in halfspace learning with the zero-one loss
A Kabán, RJ Durrant
Journal of Artificial Intelligence Research 69, 733-764, 2020
A Diversity-aware Model for Majority Vote Ensemble Accuracy
NJS Lim, RJ Durrant
23rd International Conference on Artificial Intelligence and Statistics, 2020
Random projections for machine learning and data mining: Theory and applications
RJ Durrant, A Kabán
ECML PKDD 4, 2012
A bound on the performance of LDA in randomly projected data spaces
RJ Durrant, A Kabán
Proceedings 20th International Conference on Pattern Recognition (ICPR 2010 …, 2010
Maximum margin principal components
X Luo, RJ Durrant
arXiv preprint arXiv:1705.06371, 2017
Flip Probabilities for Random Projections of θ-separated Vectors
RJ Durrant, A Kabán
School of Computer Science Technical Reports, 2010
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