66 citations · 84 across the 9 of their papers we have counts for
9 papers
Sum-Product Networks for Hybrid Domains
Alejandro Molina, Antonio Vergari, Nicola Di Mauro +3
While all kinds of mixed data -from personal data, over panel and scientific data, to public and commercial data- are collected and stored, building probabilistic graphical models…
Towards Representation Learning with Tractable Probabilistic Models
Antonio Vergari, Nicola Di Mauro, Floriana Esposito
Probabilistic models learned as density estimators can be exploited in representation learning beside being toolboxes used to answer inference queries only. However, how to extract…
Visualizing and Understanding Sum-Product Networks
Antonio Vergari, Nicola Di Mauro, Floriana Esposito
Sum-Product Networks (SPNs) are recently introduced deep tractable probabilistic models by which several kinds of inference queries can be answered exactly and in a tractable time.…
Ensemble Relational Learning based on Selective Propositionalization
Nicola Di Mauro, Floriana Esposito
Dealing with structured data needs the use of expressive representation formalisms that, however, puts the problem to deal with the computational complexity of the machine learning…
Language-Constraint Reachability Learning in Probabilistic Graphs
Claudio Taranto, Nicola Di Mauro, Floriana Esposito
The probabilistic graphs framework models the uncertainty inherent in real-world domains by means of probabilistic edges whose value quantifies the likelihood of the edge existence…
GRASP and path-relinking for Coalition Structure Generation
Nicola Di Mauro, Teresa M. A. Basile, Stefano Ferilli +1
In Artificial Intelligence with Coalition Structure Generation (CSG) one refers to those cooperative complex problems that require to find an optimal partition, maximising a social…
Feature Construction for Relational Sequence Learning
Nicola Di Mauro, Teresa M. A. Basile, Stefano Ferilli +1
We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly each relat…
GRASP for the Coalition Structure Formation Problem
Nicola Di Mauro, Teresa M. A. Basile, Stefano Ferilli +1
The coalition structure formation problem represents an active research area in multi-agent systems. A coalition structure is defined as a partition of the agents involved in a sys…
A Semantic Similarity Measure for Expressive Description Logics
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
A totally semantic measure is presented which is able to calculate a similarity value between concept descriptions and also between concept description and individual or between in…