A97-1051 incorporating end-user feedback to the learning procedure . This feedback might include
C88-2160 the knowledge base . The use of learning procedures is at present not effective .
C04-1202 almost impractical in a machine learning procedure . Thus we chose an alternative
A97-1051 reduction in the sensitivity of the learning procedure to particular training sets .
A97-1051 determines the rule space that the learning procedure explores . The learner uses indexing
C00-2141 templates After the three-stage learning procedure , we got four kinds of local
C90-2074 Learning of Morphological Rules 4.1 Learning Procedure The procedure LEARNING ( Figure
A97-1051 learning procedure . Applying the learning procedure on each training set required
C92-1055 and robusmess oriented adaptive learning procedure is proposed to deal with the
C04-1081 function , which guarantees that the learning procedure converges to the global maximum
C00-1074 c 'M . _ bad ) used in 1 ; he learning procedure ( Table 2 ) is a weight to control
A97-1051 pre-tagging rules , we have developed a learning procedure that can be used to induce these
A97-1051 first group , we invoked the rule learning procedure . Applying the learning procedure
C04-1035 , uses a memory-based machine learning procedure to classify a sluice by generalising
A97-1051 performance gained from applying the learning procedure provides measurable performance
C00-1074 Table 112 ) . According to the learning procedure shown in Table 2 , an ordered
C92-1055 implementation of this adaptive learning procedure is based on the uniform probabilistic
A97-1051 generalization behavior on which the learning procedure is based , which amplifies the
C80-1037 time . The trick for the best learning procedure there is in that the codes be
A97-1051 development process . The very same learning procedure that is used to bootstrap the
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