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» On small blocking sets and their linearity
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TSD
2010
Springer
14 years 9 months ago
Adaptation of a Feedforward Artificial Neural Network Using a Linear Transform
In this paper we present a novel method for adaptation of a multi-layer perceptron neural network (MLP ANN). Nowadays, the adaptation of the ANN is usually done as an incremental r...
Jan Trmal, Jan Zelinka, Ludek Müller
CSB
2005
IEEE
135views Bioinformatics» more  CSB 2005»
15 years 5 months ago
Inverse Design of Large Molecules using Linear Diophantine Equations
We have previously developed a method [1] for the inverse design of small ligands. This method can be used to design novel compounds with optimized properties (such as drugs) and ...
Shawn Martin, W. Michael Brown, Jean-Loup Faulon, ...
BMCBI
2005
67views more  BMCBI 2005»
14 years 11 months ago
Selecting additional tag SNPs for tolerating missing data in genotyping
Background: Recent studies have shown that the patterns of linkage disequilibrium observed in human populations have a block-like structure, and a small subset of SNPs (called tag...
Yao-Ting Huang, Kui Zhang, Ting Chen, Kun-Mao Chao
MLDM
2005
Springer
15 years 4 months ago
Linear Manifold Clustering
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of the data which are embedded in arbitrary oriented...
Robert M. Haralick, Rave Harpaz
ASIACRYPT
2004
Springer
15 years 4 months ago
How Far Can We Go Beyond Linear Cryptanalysis?
Abstract. Several generalizations of linear cryptanalysis have been proposed in the past, as well as very similar attacks in a statistical point of view. In this paper, we define ...
Thomas Baignères, Pascal Junod, Serge Vaude...