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» Neural networks: Algorithms and applications
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91
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NN
2002
Springer
107views Neural Networks» more  NN 2002»
15 years 14 days ago
Equivariant nonstationary source separation
Most of source separation methods focus on stationary sources, so higher-order statistics is necessary for successful separation, unless sources are temporally correlated. For non...
Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
154
Voted
IDA
2008
Springer
15 years 26 days ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
80
Voted
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 6 months ago
Central Point Crossover for Neuro-genetic Hybrids
In this paper, we consider each neural network as a point in a multi-dimensional problem space and suggest a crossover that locates the central point of a number of neural networks...
Soonchul Jung, Byung Ro Moon
GIS
2009
ACM
15 years 4 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov
SBRN
1998
IEEE
15 years 5 months ago
Competitive and Temporal Hebbian Learning for Production of Robot Trajectories
This paper proposes an unsupervised neural algorithm for trajectory production of a 6-DOF robotic arm. The model encodes these trajectories in a single training iteration by using...
Guilherme De A. Barreto, Aluizio F. R. Araú...