| W11-1720 | have been passed to the Weka PART | rule-induction | classifier . The best results |
| W03-2710 | task , a memory-based one and a | rule-induction | one . For the former we used |
| W01-0719 | important role . One advantage of the | rule-induction | algorithms is that their output |
| W08-0406 | the hand-aligned data used for | rule-induction | is that it is out of domain compared |
| P05-2020 | trees ( C4 .5 ) , bagging and | rule-induction | ( Ripper ) machine learning techniques |
| N06-2032 | question-answering processes . Using a | rule-induction | algorithm with automatically |
| W02-0221 | report the results of applying a | rule-induction | method to train and test DATE |
| P01-1012 | in human-machine interactions : | Rule-induction | versus memory-based learning |
| P01-1012 | For the experiments we used the | rule-induction | algorithm RIPPER ( Cohen 1996 |
| W99-0608 | decision trees , neural networks , | rule-induction | sys - tems , etc. ) . Several |
| C96-2130 | distribution . We performed a | rule-induction | experiment using the lexicon |
| S01-1020 | ingtechniques,viz.memory-basedlearningand | rule-induction | . Throughoptimizationbycross |
| W03-2710 | For this purpose we train both a | rule-induction | and a memory-based learning algorithm |
| J97-3003 | interesting by-product of the proposed | rule-induction | technique is the automatic discovery |
| J06-4007 | eager learning approach : It is a | rule-induction | algo - rithm , which displays |
| W98-1224 | e.g. , decision-tree algorithms , | rule-induction | , or connectionist-learning algorithms |
