The scoring function of UniNovo is easily trainable using a training dataset consisting of thousands of annotated spectra.
All filter parameters in the second stage are trainable; their desired values are determined using a learning algorithm.
Enter a formula using the COUNTIF function.
By default, Trainable Weka Segmentation uses a random forest algorithm [30], but another may be chosen if the operator desires.
Projections were processed into 3D datasets using the Skyscan reconstruction software NRecon, before binarization using the Trainable Segmentation plugin within the ImageJ software distribution FIJI.
b The same reconstruction but processed using Trainable Weka Segmentation.
It is also clear that using trainable fuzzy systems, it is possible to discover patterns in data which are not easily detected by other methods, as can also be done with neural network.
Furthermore, using trainable fuzzy systems, it is possible to discover patterns in data which are not easily detected by other methods, as can also be done with neural network.
The number of excitations can thus be used as trainable "weight" parameters for a neural network.
BANNER is a trainable system, using conditional random fields (Lafferty et al., 2001) and a rich feature set approach.
