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» On Generalized Feistel Networks
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ICML
2009
IEEE
14 years 11 months ago
Learning spectral graph transformations for link prediction
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
Andreas Lommatzsch, Jérôme Kunegis
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
14 years 3 months ago
Stock prediction based on financial correlation
In this paper, we propose a neuro-genetic stock prediction system based on financial correlation between companies. A number of input variables are produced from the relatively h...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 3 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
PEWASUN
2004
ACM
14 years 3 months ago
A modified IEEE 802.11 MAC protocol for MC-CDMA
In this paper, we introduce a modified version of the IEEE 802.11a protocol and evaluate its performance. The new protocol is a combination of the standard Medium Access Control (...
Georgios Orfanos, Jörg Habetha, Ling Liu
GECCO
2004
Springer
142views Optimization» more  GECCO 2004»
14 years 3 months ago
Improving MACS Thanks to a Comparison with 2TBNs
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuil...