  The white dwarf luminosity function has proven to be an excellent tool to
study some properties of the galactic disk such as its age and the past history
of the local star formation rate. The existence of an observational luminosity
function for halo white dwarfs could provide valuable information about its
age, the time that the star formation rate lasted, and could also constrain the
shape of the allowed Initial Mass Functions (IMF). However, the main problem is
the scarce number of white dwarfs already identified as halo stars. In this
Letter we show how an artificial intelligence algorithm can be succesfully used
to classify the population of spectroscopically identified white dwarfs
allowing us to identify several potential halo white dwarfs and to improve the
significance of its luminosity function.
