思乡病 发表于 2025-3-28 14:57:13

Transductive Text Classification service, for example, requiring a hundred days’ worth of training data is unlikely to please even the most patient users. The work presented in the following tackles the problem of learning from small training samples by taking a . , instead of an inductive approach. In the inductive

察觉 发表于 2025-3-28 20:50:32

Training Inductive Support Vector Machineshe fact that this type of problem is well understood in principle, there are many issues to be considered in designing an SVM learner. In particular, for large learning tasks with many training examples, off-the-shelf optimization techniques for general quadratic programs such as Newton, Quasi Newto

弄皱 发表于 2025-3-29 00:18:21

Training Transductive Support Vector Machines training examples is small and the test set is large, a transductive SVM (TSVM) can offer a substantial benefit over an inductive SVM. However, the problem of computational efficiency in training transductive SVMs has not been considered yet.

extinct 发表于 2025-3-29 03:06:43

http://reply.papertrans.cn/59/5830/582991/582991_44.png

Paleontology 发表于 2025-3-29 08:03:46

http://reply.papertrans.cn/59/5830/582991/582991_45.png

大漩涡 发表于 2025-3-29 12:24:52

http://reply.papertrans.cn/59/5830/582991/582991_46.png
页: 1 2 3 4 [5]
查看完整版本: Titlebook: Learning to Classify Text Using Support Vector Machines; Thorsten Joachims Book 2002 Springer Science+Business Media New York 2002 Support