K. Nigam, A. McCallum, S. Thrun & T. Mitchell. Using EM to Classify Text from Labeled and Unlabeled Documents. In Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98). AAAI Press, 1998. Home/Search Document Details and Download
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DCG Induction using MDL and Parsed Corpora - Osborne (1999) (Correct)
.... from some class of models that poorly approximates statistical dependencies in natural languages, systematically makes that model less linguistically plausible [Abney, 1997] In the context of using the Expectation Maximisation algorithm to classify documents, Nigam et al. reported similar ndings [Nigam et al., 1998]. All is not lost however, and there are two complementary ways we can increase our chance of estimating a linguistically useful model: we could assume the unknown process contained rules drawn from some family of grammars that can, on the basis of positive only examples, be identi ed in the ....
K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. Using EM to Classify Text from Labeled and Unlabeled Documents. Technical Report CMUCS -98-120, School of Computer Science, CMU, Pittsburgh, PA 15213, 1998.
DCG Induction using MDL and Parsed Corpora - Osborne (1999) (Correct)
.... instance, from some class of models that poorly approximates statistical dependencies in natural languages, systematically makes that model less linguistically plausible [1] In the context of using the Expectation Maximisation algorithm to classify documents, Nigam et al. reported similar findings [23]. All is not lost however, and there are two complementary ways we can increase our chance of estimating a linguistically useful model: we could assume the unknown process contained rules drawn from some family of grammars that can, on the basis of positive only examples, be identified in the ....
Kamal Nigam, Andrew McCallum, Sebastian Thrun, and Tom Mitchell. Using EM to Classify Text from Labeled and Unlabeled Documents. Technical Report CMU-CS-98-120, School of Computer Science, CMU, Pittsburgh, PA 15213, 1998.
The Organisation and Retrieval of Document Collections: A.. - Vinokourov (2003) (Correct)
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K. Nigam, A. McCallum, S. Thrun & T. Mitchell. Using EM to Classify Text from Labeled and Unlabeled Documents. In Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98). AAAI Press, 1998.
Boosting Mixture Models for Semi-supervised Learning - Grandvalet.. (4 citations) (Correct)
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K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. Using EM to classify text from labeled and unlabeled documents. Machine Learning, to appear.
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