Abstract. A coarse-coding regulatory model that facilitates neural heterogeneity through a morphogenetic process is presented. The model demonstrates cellular and tissue extensibil...
Jekanthan Thangavelautham, Gabriele M. T. D'Eleute...
The way information is represented and processed in a neural network may have important consequences on its computational power and complexity. Basically, information representatio...
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
We propose applying standardized linguistic annotation to terms included in labels of knowledge representation schemes (taxonomies or ontologies), hypothesizing that this would he...
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...