Y. Fujiwara  (firstname.lastname@example.org)
M. Asogawa  (email@example.com)
 Computer System Research Laboratory, C&C Research Laboratories,
4-1-1, Miyazaki, Miyamae-ku, Kawasaki, Kanagawa 216 Japan
 Massively Parallel Systems NEC Laboratory, RWCP
This paper examines a method to normalize a score of a stochastic motif, represented by a hidden Markov model (HMM). The accuracy of the Z score method, which is one of the score normalization method, is compared with that of the whole search method.