Sentence examples for population classifier from inspiring English sources

In the simplest case of multidimensional classification where each dimension can be classified independently, the problem can be trivially solved by a cell population classifier consisting of a mixture of cells capable of responding individually to just one input using the circuit described in Figure 1.

When the population classifier determines that the stack contents have originated from a different prototype population, it changes the active 'grade classifier' to the most appropriate one for the current fruit population.

For these reasons the proposed two-gene sensory circuit appears to be well-suited for experimental implementation of a distributed cell population based classifier.

This analytical theory allows to quickly estimate the parameters for optimal training of the distributed cell population based classifier for a given classification problem.

SNPs and indels were used for further analysis if they passed the Cortex population filter/site classifier by using default parameters.

Using a "hard" learning strategy (small γ = 0.1), the population-based classifier achieves high performance of 91.6% in just 12 iterations; however, with further training the performance deteriorates achieving 86.1% after 200 iterations.

In our proposed population-based classifier, x will be a set of concentrations of chemical signals to which cells are subjected, and the cells are assumed to contain gene circuits that produce a fluorescent signal z i (x) in response to the input signal x.

The produced stream is classified into a discrete number of prototype streams or populations by a global 'population classifier'.

We anticipate that beyond conceptual academic interest, autonomous cell population-based classifiers can have biotechnological and medical applications.

Subsequently, the generated population of optimum classifier configurations was used as candidates to form an ensemble of classifiers.

We used exposure category at HIV diagnosis as a population HIV risk classifier, whether or not it reflected ongoing drug use.