Exact(1)
These results show that restricting the recognition to the special class of IUPAC-like terms instead of all mentions of chemical names as focused on in Oscar3 (Corbett et al., 2007) increases the performance.
Similar(59)
Higher feature dimension will influence the design of neural network, and fewer numbers of samples will cause network training incomplete or over-fitted, both of which restrict the recognition precision of the neural network.
In addition, certain eukaryotes have been found to reassign a stop codon to a sense codon and restrict the recognition of eRF1 to the rest of the stop codons.
It is supposed that humans are genetically predisposed to be able to recognize sequences of context-free grammars with centre-embedded recursion while other primates are restricted to the recognition of finite state grammars with tail-recursion.
The objective of the present study is to determine whether the perceptual deficits found in CP are restricted to the recognition of faces, or also to recognition of biological motion and lip movements.
Whereas FK2 recognizes mono- and poly-ubiquitinated proteins, FK1 is restricted to the recognition of poly-ubiquitinated proteins [ 23].
With Pattern-Recognition techniques, efficiency can be greatly improved by restricting the machine to use its methods only on the kind of attempts for which they are appropriate.
In the United States, there are no federal laws that restrict the use of facial recognition.
Consider the prospect of Washington seeking to restrict the use of facial recognition technology, which Facebook uses to speed the process of adding the names of friends to photos.
This recognition restricts the oscillation of the EC between translocation states, and if translocation equilibrium is shifted towards the pre-translocated state the recognized sequence may cause a pause of transcription.
In particular, we restrict the hypothesis space of possible recognition models by applying some advanced concepts from Statistical Learning Theory, so as to force the selection of models with good generalization ability but low computational complexity.
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