http://www.cnr.it/ontology/cnr/individuo/prodotto/ID134827
A new learning method for piecewise linear regression (Articolo in rivista)
- Type
- Label
- A new learning method for piecewise linear regression (Articolo in rivista) (literal)
- Anno
- 2002-01-01T00:00:00+01:00 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- G. Ferrari Trecate, M. Muselli (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#citta
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- G. Ferrari Trecate: INRIA, Domaine de Voluceau Rocquencourt - B.P.105, 78153 Le Chesnay Cedex, France;
M. Muselli: CNR-IEIIT, Genova, Italy (literal)
- Titolo
- A new learning method for piecewise linear regression (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#inCollana
- ICANN 2002 (Lecture Notes in Computer Science) (literal)
- Abstract
- A new connectionist model for the solution of piecewise linear
regression problems is introduced; it is able to reconstruct both continuous
and non continuous real valued mappings starting from a finite
set of possibly noisy samples. The approximating function can assume a
different linear behavior in each region of an unknown polyhedral partition
of the input domain.
The proposed learning technique combines local estimation, clustering in
weight space, multicategory classification and linear regression in order
to achieve the desired result. Through this approach piecewise affine
solutions for general nonlinear regression problems can also be found. (literal)
- Editore
- Prodotto di
- Autore CNR
Incoming links:
- Prodotto
- Autore CNR di
- Editore di
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
