no code implementations • 11 Apr 2023 • Sabrina Aufiero, Giordano De Marzo, Angelica Sbardella, Andrea Zaccaria
We use algorithmic and network-based tools to build and analyze the bipartite network connecting jobs with the skills they require.
no code implementations • 1 Sep 2021 • Elena Agliari, Francesco Alemanno, Adriano Barra, Giordano De Marzo
We consider restricted Boltzmann machine (RBMs) trained over an unstructured dataset made of blurred copies of definite but unavailable ``archetypes'' and we show that there exists a critical sample size beyond which the RBM can learn archetypes, namely the machine can successfully play as a generative model or as a classifier, according to the operational routine.