The paper shows how to build an associative memory from a finite list of ex-amples. By means of a fully-blown example, it is demostrate how a probabilistic Bayesian factor graph can integrate naturally the discrete information contained in the list with smooth inference.
From Examples to Bayesian Inference / Palmieri, F. A. N.; Ciuonzo, D.; Mattera, Davide; Romano, G.; Salvo Rossi, P.. - (2011), pp. 97-104. (Intervento presentato al convegno Neural Nets WIRN11 tenutosi a Vietri sul Mare (SA) nel 3-5 giugno 2011) [10.3233/978-1-60750-972-1-97].
From Examples to Bayesian Inference
D. Ciuonzo;MATTERA, DAVIDE;
2011
Abstract
The paper shows how to build an associative memory from a finite list of ex-amples. By means of a fully-blown example, it is demostrate how a probabilistic Bayesian factor graph can integrate naturally the discrete information contained in the list with smooth inference.File in questo prodotto:
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