| J99-4003 | in Figure 2 is 01011100 . The | decision tree algorithm | can ask which partition a tag |
| E97-1033 | with sparseness of data . The | decision tree algorithm | starts with all of the training |
| J99-4003 | most important aspects of using a | decision tree algorithm | is the form of the questions |
| E12-1057 | the implementation of the IGTree | decision tree algorithm | in TiMBL ( Daele - mans et al. |
| D08-1110 | a modified version of the ID3 | decision tree algorithm | ( Quinlan , 1986 ) , which provides |
| J99-4003 | that encodes the POS tags for the | decision tree algorithm | . included , such as both the |
| J11-1006 | evaluation ( CFS ; Hall 2000 ) and a | decision tree algorithm | ( rule - based SL ) . We also |
| E97-1033 | 1984 ; Bahl et al. , 1989 ) . The | decision tree algorithm | has the advantage that it uses |
| C94-2160 | performance of both the rule-based and | decision tree algorithms | . THE PARSODY SYSTEM Our approach |
| D10-1110 | x ) We employ Gradient Boosted | Decision Tree algorithm | ( Friedman , 2001 ) to learn |
| C04-1133 | instance-based k-Nearest Neighbor , and a | decision tree algorithm | ( a version of ID3 ) . For these |
| D09-1054 | answer , plain ) . C4 .5 . This | decision tree algorithm | solved the same classification |
| J14-4004 | set , and the settings of the | decision tree algorithm | . The number of feature templates |
| A00-1024 | than to argue for a particular | decision tree algorithm | , we omit further details of |
| D09-1056 | predictive power of PWA with a | Decision Tree algorithm | . The remainder of the paper |
| J06-2001 | vector descriptions were fed into a | decision tree algorithm | . Compared with a baseline performance |
| J99-4003 | second held-out dataset . Using the | decision tree algorithm | to estimate probabilities is |
| H01-1009 | NE-system which is based on a | decision tree algorithm | -LSB- 5 -RSB- for the latter |
| J99-4003 | richness of the information that the | decision tree algorithm | is allowed to use in estimating |
| D09-1056 | WePS-2 data for testing . The | Decision Tree algorithm | was chosen because we have a |
