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It then becomes possible to apply the boosting and bagging algorithms by using Bayes Classifiers as the experts.
In all cases the experimental setup was identical, and the only difference between the boosting and the bagging algorithms was that bagging used a uniform distribution for each bootstrap sample of the data and uniform weights on the expert models.
Arrows represent the boosting and challenge events, respectively.
The arrows indicate the boosting and challenging events, resp).
The boosting and decay of tetanus antibody levels after vaccination was vaccine dose-dependent.
Due to the sparseness of the boosting and Lasso methods, only one or two of the genes were selected from a group of highly-correlated genes [6,14].
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There was a balanced distribution within the boosted and unboosted participants (table 1).
Serum antibody concentrations relative to the pre and post challenge dose is represented as a box plot (Fig. 3) for both the boosted and unboosted groups.
Sera were harvested 1 week post the boosting immunization and evaluated for microneutralization titers.
Sera were harvested 3 weeks post the boosting immunization and tested for microneutralization titers.
A second set reconfigures the circuit for boosting and regenerative braking with the ultracapacitor.
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