19. The method of claim 13 wherein said step of classifying said patterns from said class-of-interest and said input-data-set into two classes, said class-of-interest or said class-other, in accordance with said conditional test defined by said adaptive Bayes decision rule using said weighted class-of-interest posterior probability function, P ^ ⁡ ( C int / X ) W C int ,
19. The method of claim 13 wherein said step of classifying said patterns from said class-of-interest and said input-data-set into two classes, said class-of-interest or said class-other, in accordance with said conditional test defined by said adaptive Bayes decision rule using said weighted class-of-interest posterior probability function, P ^ ⁡ ( C int / X ) W C int , 20. The method of claim 19 , further includes a step of classifying said patterns using following expression If ⁢ : ⁢ P ^ ⁡ ( C C int / X ) W C int ⁢ > _ ⁢ 1 ⁢ / ⁢ 2 , Classify X as the class-of-interest Otherwise, classify X as class-other.