Sentence examples similar to the well learnt from inspiring English sources

It emerges as a new learning technique facilitating an improved learning result of one task by integrating the well-learnt knowledge from another related task.

As a new emerging technique, transfer learning enjoys the advantage of integrating the well-learnt knowledge from another related work to facilitate an improved learning result of one task.

Word perception was simulated in the model by stimulating the auditory cortex (Area 1) of the trained network with the well-learnt patterns used for the training (see previous section); pseudoword perception was simulated by presenting new, 'unknown' patterns, built as random combinations of sub-parts of learnt patterns (see Appendix B for details).

The diffuse organization that could produce lateral inhibition in some regimes under the animal's control (i.e., activation of specific well learnt actions), but, may be necessary to produce divisive gain control in other regimes (i.e., 'global' activation of the SNr by salient stimuli).

Addressing a complex problem such as human motion capture using EM is perhaps manageable in a benevolent scenario with well learnt constrains but, as suggested by Caillete and Howard [36] in the comparison of EM- and PF- based methods, Monte Carlo-based techniques clearly outperform those based in minimization algorithms.

That would be a lesson well learnt".

Ownership: A crucial element in its successful implementation, a lesson well learnt.

More precisely, we stimulated the eight networks previously trained by presenting, for four time-steps: (i) the Area 1 (auditory) component only of the respective four well-learnt 'word' pattern pairs and (ii) four different 'pseudoword' activation patterns to Area 1.

Thus, we investigated the effects of attention modulation on the timing and magnitude of the responses to familiar vs. unknown speech stimuli (words and pseudoword) by presenting well-learnt and new activation patterns to Area 1, at increasing levels of FI.

Various applicable rules on network topology were used, and examination was made of how well the animat learnt under varying sizes of visual input layer and intermediate 'processing' layer.

Some may well have learnt from the experience, consistent with assessment being used "for learning", not just "of learning".