Whats more, a self-adaptive ReTSP-Trend pruning technique is proposed to implement ensemble pruning in DD-ELMs-ES.
SMS is ideal to study these systems due to the nanoscale spatial information that can be obtained through super-resolution imaging and demonstration of SMS analysis of molecular dynamics within polymers that have been implemented in ensemble membrane separations.
We implemented an ensemble machine-learning method and identified a minimal gene signature set that distinguished a group of tumors with loco-regional recurrence from the non-recurrent set.
To assess the benefit of our kernel-based integration approach over standard data fusion techniques, we implemented an ensemble approach in which each data set gives rise to a separate LS-SVM classifier.
In contrast, the study of neural coding, lead historically via intra-cellular recordings of neural activity, has opened the door to breaking down many cognitive functions into atomic steps implemented by ensembles of neurons.
In implementing the ensemble learning and neural network-based risk scoring method, the ensemble size T was 100, and the number of hidden neurons was 30.
This approach implements an ensemble learning algorithm for the cluster parameters and provides a rigorous framework in which to infer the optimal number of clusters [ 38] (see Methods).
Although implementing the Ensemble annotation function on the web is possible, we did not include it in the current version of GRACOMICS, because accommodating several symbols in the program may lead to user confusion.
Decision tree classification was performed using the randomForest (Liaw and Wiener 2002) package for the R statistical language (R Core Team 2013), which implements an ensemble learning method developed by Breiman (2003).
A full-physics 10-km resolution (10 km on the side) mesoscale model was implemented for the ensemble prediction of surface precipitation and temperature over the domain of Northern California with lead times out to 16 days with 6-hourly temporal resolution.
