20 citations · 51 across the 6 of their papers we have counts for
7 papers
An Analysis of Word2Vec for the Italian Language
Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo +3
Word representation is fundamental in NLP tasks, because it is precisely from the coding of semantic closeness between words that it is possible to think of teaching a machine to u…
Intent Classification in Question-Answering Using LSTM Architectures
Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo +2
Question-answering (QA) is certainly the best known and probably also one of the most complex problem within Natural Language Processing (NLP) and artificial intelligence (AI). Sin…
Optimized Realization of Bayesian Networks in Reduced Normal Form using Latent Variable Model
Giovanni Di Gennaro, Amedeo Buonanno, Francesco A. N. Palmieri
Bayesian networks in their Factor Graph Reduced Normal Form (FGrn) are a powerful paradigm for implementing inference graphs. Unfortunately, the computational and memory costs of t…
Discrete Independent Component Analysis (DICA) with Belief Propagation
Francesco A. N. Palmieri, Amedeo Buonanno
We apply belief propagation to a Bayesian bipartite graph composed of discrete independent hidden variables and discrete visible variables. The network is the Discrete counterpart…
Towards Building Deep Networks with Bayesian Factor Graphs
Amedeo Buonanno, Francesco A. N. Palmieri
We propose a Multi-Layer Network based on the Bayesian framework of the Factor Graphs in Reduced Normal Form (FGrn) applied to a two-dimensional lattice. The Latent Variable Model…
A Comparison of Algorithms for Learning Hidden Variables in Normal Graphs
Francesco A. N. Palmieri
A Bayesian factor graph reduced to normal form consists in the interconnection of diverter units (or equal constraint units) and Single-Input/Single-Output (SISO) blocks. In this f…
Low-complexity dominance-based Sphere Decoder for MIMO Systems
Gianmarco Romano, Domenico Ciuonzo, Pierluigi Salvo Rossi +1
The sphere decoder (SD) is an attractive low-complexity alternative to maximum likelihood (ML) detection in a variety of communication systems. It is also employed in multiple-inpu…