Transductive Inference for Text Classification using Support Vector Machines

@inproceedings{citeulike:384511, abstract = {This paper introduces Transductive Support Vector Machines (TSVMs) for text classification. While regular Support Vector Machines (SVMs) try to induce a general decision function for a learning task, Transductive Support Vector Machines take into account a particular test set and try to minimize misclassifications of just those particular examples. The paper presents an analysis of why TSVMs are well suited for text classification. These theoretical findings are supported by experiments on...}, address = {Bled, SL}, author = {Joachims, Thorsten }, booktitle = {Proceedings of ICML-99, 16th International Conference on Machine Learning}, citeulike-article-id = {384511}, editor = {Bratko, Ivan and Dzeroski, Saso }, keywords = {categorization, classification, machines, support, svms, text, transductive, vector}, pages = {200--209}, posted-at = {2007-11-07 15:16:32}, priority = {0}, publisher = {Morgan Kaufmann Publishers, San Francisco, US}, title = {Transductive Inference for Text Classification using Support Vector Machines}, url = {http://citeseer.ist.psu.edu/joachims99transductive.html}, year = {1999} }

TY - CONF ID - citeulike:384511 L3 - citeulike-article-id:384511 N2 - This paper introduces Transductive Support Vector Machines (TSVMs) for text classification. While regular Support Vector Machines (SVMs) try to induce a general decision function for a learning task, Transductive Support Vector Machines take into account a particular test set and try to minimize misclassifications of just those particular examples. The paper presents an analysis of why TSVMs are well suited for text classification. These theoretical findings are supported by experiments on... AD - Bled, SL EP - 209 TI - Transductive Inference for Text Classification using Support Vector Machines PB - Morgan Kaufmann Publishers, San Francisco, US T2 - Proceedings of ICML-99, 16th International Conference on Machine Learning SP - 200 KW - categorization KW - classification KW - machines KW - support KW - svms KW - text KW - transductive KW - vector AU - Joachims, Thorsten A2 - Bratko, Ivan A2 - Dzeroski, Saso PY - 1999/// UR - http://citeseer.ist.psu.edu/joachims99transductive.html ER -