PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Discovering regression data quality through clustering methods
Dario Malchiodi, Simone Bassis and Lorenzo Valerio
In: WIRN 2008, 22-24 May 2008, Vietri sul Mare (SA), Italy.


We propose the use of clustering methods in order to discover the quality of each element in a training set to be subsequently fed to a regression algorithm. The paper shows that these methods, used in combination with regression algorithms taking into account the additional information conveyed by this kind of quality, allow the attainment of higher performances than those obtained through standard techniques.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:4451
Deposited By:Dario Malchiodi
Deposited On:13 March 2009