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IJON
1998
158views more  IJON 1998»
13 years 3 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
IJON
1998
172views more  IJON 1998»
13 years 3 months ago
Blind separation of convolved mixtures in the frequency domain
In this paper we employ information theoretic algorithms, previously used for separating instantaneous mixtures of sources, for separating convolved mixtures in the frequency doma...
Paris Smaragdis
IJON
1998
87views more  IJON 1998»
13 years 3 months ago
Learned parametric mixture based ICA algorithm
The learned parametric mixture method is presented for a canonical cost function based ICA model on linear mixture, with several new findings. First, its adaptive algorithm is fu...
Lei Xu, Chi Chiu Cheung, Shun-ichi Amari
IJON
1998
140views more  IJON 1998»
13 years 3 months ago
Comment on "Discrete-time recurrent neural network architectures: A unifying review"
Paper [1] aimed at providing a unified presentation of neural network architectures. We show in the present comment (i) that the canonical form of recurrent neural networks presen...
Léon Personnaz, Gérard Dreyfus
IJON
1998
119views more  IJON 1998»
13 years 3 months ago
Comment on "Recurrent neural networks: A constructive algorithm, and its properties"
In their paper [1], Tsoi and Tan present what they call a "canonical form", which they claim to be identical to that proposed in Nerrand et al [2]. They also claim that ...
Léon Personnaz, Gérard Dreyfus
IJON
1998
107views more  IJON 1998»
13 years 3 months ago
Training wavelet networks for nonlinear dynamic input-output modeling
In the framework of nonlinear process modeling, we propose training algorithms for feedback wavelet networks used as nonlinear dynamic models. An original initialization procedure...
Yacine Oussar, Isabelle Rivals, Léon Person...
IJON
1998
46views more  IJON 1998»
13 years 3 months ago
Self-organizing maps of symbol strings
SOM and LVQ algorithms for symbol strings have been introduced and applied to isolatedword recognition, for the construction of an optimal pronunciation dictionary for a given spe...
Teuvo Kohonen, Panu Somervuo
IJON
1998
91views more  IJON 1998»
13 years 3 months ago
WEBSOM - Self-organizing maps of document collections
With the WEBSOM method a textual document collection may be organized onto a graphical map display that provides an overview of the collection and facilitates interactive browsing...
Samuel Kaski, Timo Honkela, Krista Lagus, Teuvo Ko...
IJON
1998
82views more  IJON 1998»
13 years 3 months ago
Solving arithmetic problems using feed-forward neural networks
We design new feed-forward multi-layered neural networks which perform di erent elementary arithmetic operations, such as bit shifting, addition of N p-bit numbers, and multiplica...
Leonardo Franco, Sergio A. Cannas
IJON
1998
95views more  IJON 1998»
13 years 3 months ago
Self-organization and segmentation in a laterally connected orientation map of spiking neurons
The RF-SLISSOM model integrates two separate lines of research on computational modeling of the visual cortex. Laterally connected self-organizing maps have been used to model how...
Yoonsuck Choe, Risto Miikkulainen