... reduction system
(Hoya et al., 2003b; Hoya et al., 2005, 2004c) – a combined multi-stage sliding sub-
space projection (M-SSP) and adaptive signal enhancement (ASE) approach; the
role of M-SSP is ... related to the memory modules in Chap. 8. In Sect. 8.5,
we will also consider another example relevant to noise reduction, i.e. speech
Tetsuya Hoya: Artificial Mind System –...
... Humphreys, in-press),
little has been reported for the development of concrete models of attention
and their practical aspects.
Tetsuya Hoya: Artificial Mind System – Kernel Memory Approach, Studies ... 199 0), “multiple object recognition and attentional selection”
(MORSEL) (Mozer, 199 1; Mozer and Sitton, 199 8) or “selective attention for
identification model” (SAIM) (Heinke...
... with some common con-
nectionist models and PNNs/GRNNs is given.
Tetsuya Hoya: Artificial Mind System – Kernel Memory Approach, Studies in Computational
Intelligence (SCI) 1, 1 1–2 9 (2005)
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c
... (Specht,
198 8, 199 0). Subsequently, Nadaraya-Watson kernel regression (Nadaraya,
196 4; Watson, 196 4) was reformulated as a generalised regression neu...
... The Kernel Memory
In the kernel memory context, the most elementary unit is called a single
kernel unit that represents the local memory space. The term kernel denotes
Tetsuya Hoya: Artificial Mind ... Artificial Mind System – Kernel Memory Approach, Studies in Computational
Intelligence (SCI) 1, 3 1–5 8 (2005)
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c
Springer-Verlag Berlin He...
... classification systems.
Tetsuya Hoya: Artificial Mind System – Kernel Memory Approach, Studies in Computational
Intelligence (SCI) 1, 8 3 9 4 (2005)
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c
Springer-Verlag Berlin ... Artificial Mind System – A Global Picture
As shown in Fig. 5.1, the artificial mind system can be macroscopically re-
garded as a multi-input multi-output (MIMO) system,...
... obtained by the HA-GRNN after the evolution –
with an attentive state of Digits 5 and 9 – using the SFS data set
Generalisation
Digit01234567 89 Total Performance
0 29 1 3 2 29/ 36 80.6%
1 31 2 ... matrix obtained by the HA-GRNN after the evolution –
with an attentive state of Digit 9 – using the SFS data set
Generalisation
Digit01234567 89 Total Performance
0 29 1 3 2...
... the SOKM principle.
Tetsuya Hoya: Artificial Mind System – Kernel Memory Approach, Studies in Computational
Intelligence (SCI) 1, 5 9 8 0 (2005)
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c
Springer-Verlag Berlin Heidelberg ... e.g. Koch, 199 9).
Then, for instance, if we choose a Gaussian kernel and the overall synap-
tic inputs arriving at the kernel memory match the stored spike pattern t...
... the information (in
Tetsuya Hoya: Artificial Mind System – Kernel Memory Approach, Studies in Computational
Intelligence (SCI) 1, 13 5–1 68 (2005)
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c
Springer-Verlag Berlin Heidelberg ... those from sub -system B, for instance, only sub -system A can
be intensively evolved (i.e. some of the parameters within the units 1 )-4 ) of
sub -system A can be...