Sentence examples for induction learning from inspiring English sources

This is the trouble and the pdoxical aspect of induction: learning backwards, trusting in the uniformity of the course of nature and experience, and in the impossibility of a radical change.

Kim and Gelenbe [ 32] propose the G-network for the steady-state behaviour of gene regulatory networks for identifying disease-causing genes while Le et al. [ 33] have applied rule induction learning to characterise nucleosome dynamics from genomic and epigenetic data.

However, this bypasses a crucial induction (learning) step, i.e., learning how efficacy relates to a continuum of doses.

At Accenture, as at many big graduate recruiters, new recruits are sent on a five- to seven-week induction course learning not only the technical aspects of their new job but also the more nebulous, but equally crucial, business skills.

However, the equally robust error signals carried by the climbing fibers during VOR-decrease training seem to make little or no contribution to the induction of learning.

Recordings during some cerebellum-dependent tasks have revealed a dissociation between the encoding of errors and the induction of learning over the course of a training session (Catz et al., 2005; Ke et al., 2009; Kitazawa et al., 1998; Ojakangas and Ebner, 1992).

Fourth, with the exception of CNS teratogens, it is not yet possible to predict which periods of brain development are the most vulnerable for the induction of learning disabilities, as seen by the different patterns of critical periods for phenytoin and isotretinoin compared to methamphetamine.

Most works in inductive concept learning consider feature induction as a transformational process (see [3] for a review); new features are induced by operating on existing primitive features.

ApoEr2 plays an important role in induction of LTP, learning and memory, and synaptic transmission in adult brain [5], [32].

Moderate PKMζ overexpression will lower the threshold for LTP induction and alter learning efficacy by increasing the sensitivity of the PKMζ network to input, whereas an overdose of the gene will induce LTP without stimuli and hinder learning ability by destroying the bistability of the system.

Dynamic gating of the neural error signals controlling the induction of learning may be a general feature of neural learning algorithms, and merits systematic investigation in the cerebellum and other circuits.