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As a result, convergence analysis results for several classes of learning laws with local average operator are given.
The aim of this paper is to present findings for several classes of learning algorithm for medically related problems.
In the descriptive agenda, more emphasis should be placed on establishing what classes of learning rules actually model learning by multiple humans or animals.
Potential classes of learning showing such a dissociation include recognition memory, spatial conditional learning and configural learning.
This view is supported by recent rat studies showing that areas 29 and 30 jointly support the same overall classes of learning, e.g., spatial memory, but make different contributions (van Groen et al., 2004; Vann and Aggleton, 2005; Pothuizen et al., 2009, 2010).
However, it has been suggested that, for some specific classes of learning, the impact of hippocampal damage might differ qualitatively from that of fornix damage.
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This is an integrated approach which allows designing future product life cycle organizations as a class of learning, self-learning or adaptive distributed systems using high-level, sign-based communications across entire product life cycle environment named Product Related Semiosphere (PRS).
Hand-Held Devices A growing class of learning tools, even smaller than book readers, is hand-held.
Once we have the base class of learning objects, adaptivity can be designed in a variety of ways.
For each class of learning method, we create a prototypical protocol and examine its performance in simulation.
As a relatively new class of learning tools, visualization tools may be able to promote higher levels of engagement with mathematical concepts.
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