Exact(1)
In training process, the initial structure of the network is trained, and then the architecture of the trained network is optimized for reduction of prediction errors in generalization process.
Similar(59)
Verifiable hypotheses employ conventional elements in the generalization process and may presuppose the (empirical) principle of induction.
It also suggests that this ability is likely rooted in a generalization process, based on the perceived similarity between the transformed and the originally learned object views.
This fact might provide the coherence between the important results published by different authors in the literature, where no generalization process was performed or applied in early prediction.
Based on the reduced number of errors in the first sessions we can consider that a real generalization process was involved in the recognition of a cow of the same breed.
Reflecting on the generalization process shows that it presupposes a belief in the unity and simplicity of nature (Poincaré 1902: 159 165; 159 165159 165).
Figure 1 Trajectory Generalization process.
Such a generalization process is an important capability and can foster the understanding and imitation of behavior in two ways.
Semantic generalization processes in particular had been assumed to be involved in those consolidation processes leading to false memories [ 60].
The testing and generalization processes are then performed.
(These are, of course, generalizations; process steps, too, are often patented).
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