87 search results - page 10 / 18 » A Comparison between Recursive Neural Networks and Graph Neu... |
ESANN
2006
13 years 9 months ago
2006
Abstract. Feature Selection techniques usually follow some search strategy to select a suitable subset from a set of features. Most neural network growing algorithms perform a sear...
ISITA
2010
13 years 5 months ago
2010
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...
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
NN
2006
Springer
13 years 7 months ago
2006
Springer
This paper presents a new development of the NeuroVaria method. NeuroVaria computes relevant atmospheric and oceanic parameters by minimizing the difference between the observed s...
NIPS
2004
13 years 9 months ago
2004
The formation of disulphide bridges among cysteines is an important feature of protein structures. Here we develop new methods for the prediction of disulphide bond connectivity. ...