| W04-3218 | utterances as feature vectors The | decision-tree method | used symbolic features in order |
| P99-1080 | this paper we have developed a | decision-tree method | for building a language model |
| W96-0208 | training . As a representative of | decision-tree methods | , we chose C4 .5 ( Quinlan , |
| W96-0208 | comparison of neural-network and | decision-tree methods | on learning to generate the past |
| C00-1082 | combination of features . Unlike the | decision-tree method | , as a result , we had to combine |
| C00-1082 | , and ( iv ) word , as in the | decision-tree method | . However , it , does not consider |
| W00-1317 | al. , 1996 ) , a probabilistic | decision-tree method | for the same task described in |
| C00-1082 | as a tree structure like in the | decision-tree method | , but are expanded by combining |
| W96-0208 | instances " ( Mitchell , 1980 ) . | Decision-tree methods | have a bias for simple decision |
