http://www.cnr.it/ontology/cnr/individuo/prodotto/ID20579
Reliable learning: a theoretical framework (Articolo in rivista)
- Type
- Label
- Reliable learning: a theoretical framework (Articolo in rivista) (literal)
- Anno
- 2007-01-01T00:00:00+01:00 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- M. Muselli, F. Ruffino (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Note
- Scopu (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- M. Muselli, F. Ruffino: CNR-IEIIT, Italy (literal)
- Titolo
- Reliable learning: a theoretical framework (literal)
- Abstract
- A proper theoretical framework, called reliable learning, for
the analysis of consistency of learning techniques incorporating prior
knowledge for the solution of pattern recognition problems is introduced
by properly extending standard concepts of Statistical Learning Theory.
In particular, two different situations are considered: in the first one
a reliable region is determined where the correct classification is known;
in the second case the prior knowledge regards the correct classification
of some points in the training set. In both situations sufficient conditions
for ensuring the consistency of the Empirical Risk Minimization (ERM)
criterion is established and an explicit bound for the generalization error
is derived. (literal)
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