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» Basis Reduction, and the Complexity of Branch-and-Bound
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NIPS
1992
14 years 10 months 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 7 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 9 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
100
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CRYPTO
2011
Springer
191views Cryptology» more  CRYPTO 2011»
13 years 9 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 9 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...