To explore how broadly applicable the method is, we turned to ANNEs in which classification is determined by averaging the individual network outputs (which are logistic functions ranging from 0 to 1 for classification models) and comparing that average to an ensemble threshold.
Open data also helps address the classification problem, again by lowering the cost at which one group attempts to organize their information, and by creating a culture in which classification schemes are themselves shared, remixed, hacked, and subjected to incremental improvement-but also ready to be torn down and rebuilt when the data indicate.
The IPC decided to reduce the number of classifications, and to try to fix classification so that competitors could have more certainty in which classification they would compete in before attending an event.
A few studies have been published in which classification of spasticity with the Modified Ashworth Scale has been given in adult stroke patients [ 25, 26].
We conducted an additional analysis in which classification was conducted using the whole of bilateral temporal cortex, rather than using small local neighborhoods of voxels.
It was previously shown that very few insertion events, sometimes even a single event, can be used for classification in this important family in which classification is still under debate [ 19].
This is based on a measure of transcriptional influence, which was shown to provide a transformed view of the transcriptome in which classification algorithms are more robust (Nicolle et al., 2012).
CART is a nonparametric validated statistical procedure in which classification and regression trees are constructed to predict an outcome variable from among a large number of variables and their interactions.
Experiments in which classification based on the V6-V9 region was compared with a truncated template corresponding to the V6 region support the view that a short hypervariable region can be used instead of longer regions.
The SVM classifiers we implemented to map the data from the input space to a high-dimensional space in which classification can be performed by locating data points with respect to a hyperplane that separates binary classes.
