Domain adaptation during learning is an important focus of study in Deep Learning [57],[58], where the distribution of the training data (from which the representations are learnt) is different from the distribution of the test data (on which the learnt representations are deployed).
The shamans of the Goldi-Ude tribe perform the ceremony in a singular shirt and in a front and back apron on which there are representations of snakes, lizards, frogs, and other animals.
Thus, spoken language, structured by prosodic form, is the "base" on which the mental representations and processes that compose linguistic processing are built.
It seems as though there are certain tacitly agreed-up topics on which the boundaries of representation can be pushed - sexuality, gender identity, mental illness, for example - but others which authors are much more reluctant to address.
Connectionism rejects the view of mental representation on which this argument depends.
Hence, the molecular representation, on which the QSAR is computed, is solely given as the implicit feature encoding hidden in the structured kernel.
However, the main computational expense of our filtering scheme results from computing a TCR representation on which the filter TCR mask is selected.
In this discussion paper we address the concept of structured variability, particularly the role of system structure as implementing a certain representation on which basic variational mechanisms act on.
2204 measured footfall traces from 61 test subjects were used to generate 10 s peak root-mean-square acceleration response spectra, on which a piecewise mathematical representation is based.
The dynamic agent composition approach consists in having agents, whose implementation has been broken into atomic units, come together at runtime to form the complex system representation on which simulations are run.
