13 citations · 18 across the 5 of their papers we have counts for
5 papers
Relational Neural Machines
Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini +2
Deep learning has been shown to achieve impressive results in several tasks where a large amount of training data is available. However, deep learning solely focuses on the accurac…
Typed Graph Networks
Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos +2
Recently, the deep learning community has given growing attention to neural architectures engineered to learn problems in relational domains. Convolutional Neural Networks employ p…
The principle of cognitive action - Preliminary experimental analysis
Marco Gori, Marco Maggini, Alessandro Rossi
In this document we shows a first implementation and some preliminary results of a new theory, facing Machine Learning problems in the frameworks of Classical Mechanics and Variati…
Collapsing of dimensionality
Marco Gori, Marco Maggini, Alessandro Rossi
We analyze a new approach to Machine Learning coming from a modification of classical regularization networks by casting the process in the time dimension, leading to a sort of col…
Learning to see like children: proof of concept
Marco Gori, Marco Lippi, Marco Maggini +1
In the last few years we have seen a growing interest in machine learning approaches to computer vision and, especially, to semantic labeling. Nowadays state of the art systems use…