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» Basis Reduction, and the Complexity of Branch-and-Bound
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NIPS
1992
15 years 11 days ago
Network Structuring and Training Using Rule-Based Knowledge
We demonstrate in this paper how certain forms of rule-based knowledge can be used to prestructure a neural network of normalized basis functions and give a probabilistic interpre...
Volker Tresp, Jürgen Hollatz, Subutai Ahmad
ISITA
2010
14 years 9 months ago
Lattice-reduction aided HNN for vector precoding
In this paper we propose a modication of the Hopeld neural networks for vector precoding, based on Lenstra, Lenstra, and Lov`asz lattice basis reduction. This precoding algorithm c...
Vesna Gardasevic, Ralf R. Müller, Daniel J. R...
BMCBI
2008
175views more  BMCBI 2008»
14 years 11 months ago
Comprehensive inventory of protein complexes in the Protein Data Bank from consistent classification of interfaces
Background: Protein-protein interactions are ubiquitous and essential for all cellular processes. High-resolution X-ray crystallographic structures of protein complexes can reveal...
Andrew J. Bordner, Andrey A. Gorin
CRYPTO
2011
Springer
191views Cryptology» more  CRYPTO 2011»
13 years 11 months ago
Analyzing Blockwise Lattice Algorithms Using Dynamical Systems
Strong lattice reduction is the key element for most attacks against lattice-based cryptosystems. Between the strongest but impractical HKZ reduction and the weak but fast LLL redu...
Guillaume Hanrot, Xavier Pujol, Damien Stehl&eacut...
IACR
2011
155views more  IACR 2011»
13 years 11 months ago
Terminating BKZ
Strong lattice reduction is the key element for most attacks against lattice-based cryptosystems. Between the strongest but impractical HKZ reduction and the weak but fast LLL redu...
Guillaume Hanrot, Xavier Pujol, Damien Stehl&eacut...