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DMIN
2006
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13 years 7 months ago
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Iryna Skrypnyk, Tin Kam Ho
ICCSA
2005
Springer
13 years 12 months ago
Perturbed Hidden Matrix Cryptosystems
Abstract. We apply internal perturbation [3] to the matrix-type cryptosystems [Cn] and HM constructed in [9]. Using small instances of these variants, we investigate the existence ...
Zhiping Wu, Jintai Ding, Jason E. Gower, Dingfeng ...