| W13-4711 | Features The performance of the | machine leaning | technique depends on the features |
| W09-1309 | Learning Algorithms We compared three | machine leaning | algorithms which have previously |
| W08-0611 | Learning Algorithms We compared three | machine leaning | algorithms which have previously |
| W08-1116 | worth ? The effectiveness of any | machine leaning | program is very limited by the |
| S15-1005 | Adaptation The standard assumption in | machine leaning | is that data are independent |
| S13-2099 | features for the classifiers of the | Machine Leaning | modules . The machine learning |
| S13-2099 | online other configurations of the | machine leaning | modules will be available using |
| N06-3009 | features , in the future . However , | machine leaning | approaches suffer from a serious |
| W11-0328 | performance reports achieved by pure | machine leaning | methods ( i.e. without rulebased |
| S13-2099 | with other configurations of the | machine leaning | modules and selected this one |
| W02-1605 | we will briefly descript three | machine leaning | techniques , C4 .5 , C4 .5 rule |
