Sentence examples for inputs representation from inspiring English sources
The goal of supervised learning methods is to find a model that associates correctly the inputs (representation of the objects) with the targets (representation of the responses).
Input feature representations of 3 hybrid RNNLM variations (a) hybrid input representation for H-F and H-R1, and (b) hybrid input representation for H-R2.
Input representation: More details about the TF representation are given in the experimental section.
A hybrid input representation and its variations are described in Section 3.2.
In each individual experiment of the ensemble, a different randomly generated noise is added to the input representation.
On the other hand, the more complex sentence structures considered in [12] require a richer input representation.
Additionally, a word and its context are explored to disambiguate the meaning of the word for rich input representation.
The hybrid input representation can considerably save both training and decoding time while still achieving slightly better recognition accuracy.
Uncertainties may originate from model structure, estimation of model parameters, data input, representation of natural variation and scaling exercises.
The DNN used AMFB features as input, and the relatively low-dimensional BN features were used as a compact input representation for the SGMM-HMM.
We demonstrate that statistical information of key movements of actions can be utilized in designing an efficient input representation, using fuzzy membership functions.
