| P07-1072 | experiment with two state of the | art classification | sets used in NP interpretation |
| J10-2002 | regression methods and a state-of-the | art classification | method . Moreover , we present |
| W11-1107 | compare against a state of the | art classification | algorithm which uses different |
| D10-1028 | Bayes improves on state of the | art classification | using the Bitter Lemons corpus |
| D15-1048 | the suitability of state of the | art classification | and feature extraction techniques |
| W06-1649 | performance than other state of the | art classification | algorithms , e.g. , SVM , a one-class |
| W04-2423 | training can deploy state of the | art classification | meth - ods . What then determines |
| W06-1649 | compared it with other state of the | art classification | methods , including SVM 10 ( |
