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Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions.

, and . Mach. Learn., 99 (2): 257-286 (2015)

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Compressed fisher linear discriminant analysis: classification of randomly projected data., and . KDD, page 1119-1128. ACM, (2010)Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space., and . AISTATS, volume 22 of JMLR Proceedings, page 337-345. JMLR.org, (2012)Dimension-Adaptive Bounds on Compressive FLD Classification., and . ALT, volume 8139 of Lecture Notes in Computer Science, page 294-308. Springer, (2013)Sharp Generalization Error Bounds for Randomly-projected Classifiers., and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 693-701. JMLR.org, (2013)A Bound on the Performance of LDA in Randomly Projected Data Spaces., and . ICPR, page 4044-4047. IEEE Computer Society, (2010)Foreword: special issue for the journal track of the 9th Asian Conference on Machine Learning (ACML 2017)., and . Mach. Learn., 107 (4): 639-641 (2018)Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016)., , , , , and . Mach. Learn., 106 (5): 623-625 (2017)Structure from Randomness in Halfspace Learning with the Zero-One Loss., and . J. Artif. Intell. Res., (2020)Maximum Margin Principal Components., and . CoRR, (2017)Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions., and . ACML, volume 29 of JMLR Workshop and Conference Proceedings, page 17-32. JMLR.org, (2013)