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IEAAIE
2010
Springer
15 years 2 months ago
S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework
Gene functions is an essential knowledge for understanding how metabolism works and designing treatments for solving malfunctions. The Modular Multi-Relational Framework (MMRF) is ...
Beatriz García Jiménez, Agapito Lede...
ISSAC
2007
Springer
153views Mathematics» more  ISSAC 2007»
15 years 10 months ago
On exact and approximate interpolation of sparse rational functions
The black box algorithm for separating the numerator from the denominator of a multivariate rational function can be combined with sparse multivariate polynomial interpolation alg...
Erich Kaltofen, Zhengfeng Yang
SSC
2007
Springer
192views Cryptology» more  SSC 2007»
15 years 10 months ago
On Boolean Functions Which Are Bent and Negabent
Bent functions f : Fm 2 → F2 achieve largest distance to all linear functions. Equivalently, their spectrum with respect to the Hadamard-Walsh transform is flat (i.e. all spectr...
Matthew G. Parker, Alexander Pott
CEC
2005
IEEE
15 years 10 months ago
XCS with computed prediction for the learning of Boolean functions
Computed prediction represents a major shift in learning classifier system research. XCS with computed prediction, based on linear approximators, has been applied so far to functi...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
FLOPS
2006
Springer
15 years 8 months ago
Crossing State Lines: Adapting Object-Oriented Frameworks to Functional Reactive Languages
Functional reactive programming integrates dynamic dataflow with functional programming to offer an elegant and powerful model for expressing computations over time-varying values....
Daniel Ignatoff, Gregory H. Cooper, Shriram Krishn...