| C02-1103 | used the linear models offered by | SVM light | . As performance measures , we |
| N09-1002 | experiments on several data sets , using | SVM light | ( Joachims , 1999 ) 4 under its |
| W04-2420 | experiments , we utilized the | SVM light | package ( T. Joachims , 2002 |
| W12-4102 | text classification . We used the | SVM Light | implementation with default parameters |
| W10-0511 | per post ) . 4 Methods We used | SVM Light | ( Joachims , 2002 ) to predict |
| W08-1402 | at one threshold . Except for | SVM Light | , the results are based on 10-fold |
| I05-2044 | , we used the software package | SVM light | -LSB- 17 -RSB- . For evaluation |
| W07-0208 | described in this paper we used the | SVM Light | classifier ( Joachims , 1999 |
| W08-1402 | of 660 examples ) used in the | SVM Light | test . 4.4 Other Language Pairs |
| D08-1114 | implemented SVM and TSVM using | SVM Light | ( Joachims , b ) and SGT using |
| W15-1304 | algorithms we used which includes | SVM Light | for both SVM kernels and Mallet |
| W12-1702 | vectors to the learning module2 of | SVM Light | to generate a learned model across |
| W15-1304 | research , we have mainly focused on | SVM Light | 's linear kernel ( LSVM ) and |
| W13-4303 | , i.e. - j and - c options of | svm light | 1 . The parameters of the prefixspan |
| S12-1036 | machine learning tasks , we used the | SVM light | classifier ( Joachims , 1999 |
| W10-3113 | using a Python implementation of | SVM Light | using the linear kernel and the |
| W01-1007 | the problem . 2 The version of | SVM light | used consistently failed to converge |
| S12-1035 | but instead of CRFs it employs | SVM Light | . The resources utilized by participants |
| C02-1019 | separable ( Vapnik , 1995 ) . We use | SVM light | 1 system for our experiment ( |
| W12-1702 | For our experiments we use the | SVM Light | Multiclass ( v. 2.20 ) software |
