max ( A , B ) ??? ??? i = 1 l ( t i log ( p i ) + ( 1 - t i ) log ( p i ) ) ??? ( 2 ) where l is the number of feature vectors for the samples in the active pool, min is a function that selects a smallest value, and t is a parameter for each sample to adjust the importance of the positive and negative labeled examples defined as