While a network with more than 100 hidden layers has been reported for image classification, how such a non-recurrent neural network with more than 10 hidden layers will perform for speech synthesis is as yet unknown.
Other methods have also been reported for the classification of HO in patients with post-traumatic HO and HO following hip arthroplasty [20, 21, 22].
Structural convergence, however, has been reported for venoms, a general classification that the Kunitz protein family belongs to [Revised in 41].
In addition, high levels of variability, leading to discrepancies in their taxonomic classification, have been reported for dudaim and flexuosus, as accessions of these groups are sometimes grouped with agrestis types or interspersed with sweet cultivated types of the subspecies melo[ 9, 11, 32].
However, several classifications have been reported for these enzymes based on sequence similarity and substrate specificity (Crepin et al. 2004; Olivares-Hernandez et al. 2010; Benoit et al. 2008).
In general, DNA-based methods suffer much more from a decrease in prediction accuracy when sequences get shorter than protein-based methods, even though good classification accuracies have been reported for sequences ∼100 bp [ 72, 86].
Note.-The accuracies are reported for several classification models; including, best hit BLAST, the decision tree analysis, SWDAS, and CVAS.
Percentages of specificity and false positive rates ("False +", expressed in %) are reported for the classification by gene superfamily, and by class.
ICD-9 diagnosis codes were reported for each patient (International Classification of Diseases, Ninth Revision, Clinical Modification (ICD9-CM)).
Results are reported for both recognition and expression classification.
