Sentence examples for supervised architecture from inspiring English sources

Experimental results on both synthetic and real world data sets are presented to demonstrate the validity of the proposed supervised architecture.

Our method combines the sequential de-noising and the classification aspects in one integrated supervised architecture, so that they can cooperatively learn a better overall predictive model, without loss of relevant signal to either.

A multi-scale supervised neural architecture, called Multi-Scale SOON, is proposed for natural texture classification.

The present study indicates that the supervised LVQ1 architecture performs satisfactorily to identify the geochemical characters in the data and the possibility of mis-characterization is minimal.

Unsupervised learning of feature hierarchies is often a good strategy to initialize deep architectures for supervised learning.

Mixture of experts (ME) is a modular neural network architecture for supervised learning.

In this paper, a novel supervised-binarization method is proposed, in which a hierarchical deep supervised network (DSN) architecture is learned for the prediction of the text pixels at different feature levels.

Mixture of experts (ME) is modular neural network architecture for supervised learning.

The MME is a modular neural network architecture for supervised learning.

Based on fuzzy control theory and fuzzy arithmetic intervals, distributed and supervised continuous-flow control architecture has been proposed.

Previously, fuzzy control theory and fuzzy intervals arithmetic have been used to develop a distributed and supervised continuous-flow control architecture.