TY  - GEN 
AU  - Flesch, Ildikó
AU  - Fernández, Antonio
AU  - Salmerón Cerdán, Antonio
PY  - 2007
UR  - http://hdl.handle.net/10835/1548
AB  - In this paper we propose an incremental method for building classifiers in domains with very large amounts of data or for data streams. The method is based on the use of mixtures of truncated exponentials, so that continuous and discrete variables can...
LA  - en
TI  - Incremental supervised classification for the MTE distribution: a preliminary study
ER  -