Sentence examples for network adaptation from inspiring English sources

network adaptation layer units.

Resilient networks are defined with network adaptation or link rewiring.

A novel methodology for network adaptation when facing new subjects, for personalised assessment, as well as for providing transparency to the network's performance, is presented in Section "A novel method for deep neural network adaptation and transparency".

In contrast to previous work (where standard HMM adaptation schemes are used), linear input network adaptation is investigated.

Two basic aspects of network-aware applications, network-awareness and network adaptation, have been widely addressed in the literature.

Regarding the network adaptation policy, MemEFS achieves up to 50% speedup compared to its network-agnostic counterpart.

We discuss mechanisms of drug resistance caused by network adaptations and suggest that development of effective drug combinations requires understanding of how feedback loops modulate drug responses.

The robustness framework was even able to handle such different algorithms as the Gauss-Newton-type Algorithm 6, of which the recursive least squares (RLS) algorithm is its most famous special form, but also single-layer neural network adaptations.

Our results indicate that the metabolic defects introduced by siRNA silencing of metabolic enzymes TKT or AK2 may be compensated by alternative feedback metabolic mechanisms, suggesting that cancer cells may overcome single defective pathways through secondary metabolic network adaptations.

A potential worry in all HSP-overexpression or -boosting studies is that it leads to network adaptations (which would annihilate long-term effectiveness) or to multiple side effects, including enhancement of carcinogenesis, as was demonstrated for the manipulation of HSF-1 activity (Mendillo et al., 2012).

Although network adaptations are to be expected upon manipulation of the driving forces of chaperone machinery (e.g. Hsp90/HSPC or Hsp70/HSPA), such effects might be less likely for those components that only steer the specificity of these machines (e.g. HSPBs or DNAJs).