127 search results - page 3 / 26 » Nonlinear Vector Resilient Functions |
EUROCRYPT
2000
Springer
15 years 1 months ago
2000
Springer
We investigate the link between the nonlinearity of a Boolean function and its propagation characteristics. We prove that highly nonlinear functions usually have good propagation p...
TITB
2008
14 years 9 months ago
2008
Nonlinear classifiers, e.g., support vector machines (SVMs) with radial basis function (RBF) kernels, have been used widely for automatic diagnosis of diseases because of their hig...
DCC
2008
IEEE
15 years 9 months ago
2008
IEEE
In this paper we study the neighbourhood of 15-variable Patterson-Wiedemann (PW) functions, i.e., the functions that differ by a small Hamming distance from the PW functions in te...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
IJON
2002
14 years 9 months ago
2002
The population vector is a linear decoder for an ensemble of neurons, whose response properties are nonlinear functions of the input vector. However, previous analyses of this deco...