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I'm wondering if the authors would like to release the code and data for the baseline method SVMt. I've tried using libsvm with linear kernel and other default parameters to reproduce the results in the paper but only got results as follows (mean and std over 10 random trials):
Caltech: 24.06 (6.4); Amazon: 37.26 (5.23); W: 54.72 (5.68). These results are worse than those reported in the paper (Caltech: 30.1 (0.9); Amazon: 44.2(1.1); W: 58.3(1.2)) in terms of both mean and std. I'd like to know what leads to such difference. Any comments will be much appreciated.
The text was updated successfully, but these errors were encountered:
I'm wondering if the authors would like to release the code and data for the baseline method SVMt. I've tried using libsvm with linear kernel and other default parameters to reproduce the results in the paper but only got results as follows (mean and std over 10 random trials):
Caltech: 24.06 (6.4); Amazon: 37.26 (5.23); W: 54.72 (5.68). These results are worse than those reported in the paper (Caltech: 30.1 (0.9); Amazon: 44.2(1.1); W: 58.3(1.2)) in terms of both mean and std. I'd like to know what leads to such difference. Any comments will be much appreciated.
The text was updated successfully, but these errors were encountered: