id: 05768031
dt: a
an: 05768031
au: Nanas, Nikolaos; Kodovas, Stefanos; Vavalis, Manolis; Houstis, Elias
ti: Immune inspired information filtering in a high dimensional space.
so: Hart, Emma (ed.) et al., Artificial immune systems. 9th international
    conference, ICARIS 2010, Edinburgh, UK, July 26‒29, 2010.
    Proceedings. Berlin: Springer (ISBN 978-3-642-14546-9/pbk). Lecture
    Notes in Computer Science 6209, 47-60 (2010).
py: 2010
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-14547-6_5
ab: Summary: Adaptive Information Filtering is a challenging computational
    problem that requires a high dimensional feature space. However,
    theoretical issues arise when vector-based representations are adopted
    in such a space. In this paper, we use AIF as a test bed to provide
    experimental evidence indicating that the learning abilities of
    vector-based Artificial Immune Systems are diminished in a high
    dimensional space.
rv: