Imagining recognition of behaviors from video sequences for a machine is full challenges but meaningful. This work aims to predict students’ behavior in an experimental class, which relies on the symmetry idea reality annotated centered feature space. A heteromorphic ensemble algorithm proposed make obtained features more aggregated and reduce computational burden. Namely, deep learning models ...

Whether taxometrics yields inferential knowledge to something latent is partly but not wholly a semantic question. Although the single variables are manifest indicator scores of individuals, the statistics computed from them via postulates of the formalism are not mere data summaries and will be incorrect or meaningless if the structural conjectures are false. The unidirectional derivability fr...

BACKGROUND A common perception is that DNA barcode datamatrices have limited phylogenetic signal due to the small number of characters available per taxon. However, another school of thought suggests that the massively increased taxon sampling afforded through the use of DNA barcodes may considerably increase the phylogenetic signal present in a datamatrix. Here I test this hypothesis using a l...