A neural network for learning the meaning of objects and words from a featural representation
The present work investigates how complex semantics can be extracted from the statistics of
input features, using an attractor neural network. The study is focused on how feature …
input features, using an attractor neural network. The study is focused on how feature …
A neural network for learning the meaning of objects and words from a featural representation
M Ursino, C Cuppini, E Magosso - Neural Networks, 2015 - dl.acm.org
The present work investigates how complex semantics can be extracted from the statistics of
input features, using an attractor neural network. The study is focused on how feature …
input features, using an attractor neural network. The study is focused on how feature …
A neural network for learning the meaning of objects and words from a featural representation
M Ursino, C Cuppini… - Neural networks: the …, 2015 - pubmed.ncbi.nlm.nih.gov
The present work investigates how complex semantics can be extracted from the statistics of
input features, using an attractor neural network. The study is focused on how feature …
input features, using an attractor neural network. The study is focused on how feature …
A neural network for learning the meaning of objects and words from a featural representation.
M Ursino, C Cuppini, E Magosso - Neural Networks: the Official …, 2014 - europepmc.org
The present work investigates how complex semantics can be extracted from the statistics of
input features, using an attractor neural network. The study is focused on how feature …
input features, using an attractor neural network. The study is focused on how feature …
A neural network for learning the meaning of objects and words from a featural representation
M Ursino, C Cuppini, E Magosso - NEURAL NETWORKS, 2015 - cris.unibo.it
The present work investigates how complex semantics can be extracted from the statistics of
input features, using an attractor neural network. The study is focused on how feature …
input features, using an attractor neural network. The study is focused on how feature …
A neural network for learning the meaning of objects and words from a featural representation
M Ursino, C Cuppini, E Magosso - Neural Networks, 2015 - infona.pl
The present work investigates how complex semantics can be extracted from the statistics of
input features, using an attractor neural network. The study is focused on how feature …
input features, using an attractor neural network. The study is focused on how feature …