420 search results - page 52 / 84 » A Neural Network for Text Representation |
ICANN
2001
Springer
13 years 12 months ago
2001
Springer
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
JMLR
2012
11 years 10 months ago
2012
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
IWANN
2009
Springer
14 years 2 months ago
2009
Springer
Our understanding of biological systems is highly dependent on the study of the mechanisms that regulate genetic expression. In this paper we present a tool to evaluate scientific ...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
—We present a structured model of context that supports an integrated approach to language acquisition and use. The model extends an existing formal notation, Embodied Constructi...
GPEM
2006
13 years 7 months ago
2006
There are various representations for encoding graph structures, such as artificial neural networks (ANNs) and circuits, each with its own strengths and weaknesses. Here we analyz...