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12
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BoosTexter: A System for Multiclass Multi-label Text Categorization
– Robert E. Schapire, Yoram Singer
- 1998
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91
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Boosting and Rocchio Applied to Text Filtering
– Robert E. Schapire, Yoram Singer, Amit Singhal
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Text Categorization with a Small Number of . . .
– Kang Hyuk Lee
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839
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Machine Learning in Automated Text Categorization
– Fabrizio Sebastiani, Consiglio Nazionale Delle Ricerche
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16
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Machine Learning in Automated Text Categorisation
– Fabrizio Sebastiani
- 1999
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632
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Text Classification from Labeled and Unlabeled Documents using EM
– Kamal Nigam, Andrew Kachites Mccallum, Sebastian Thrun, Tom Mitchell
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213
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Context-Sensitive Learning Methods for Text Categorization
– William W. Cohen, Yoram Singer
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419
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Inductive Learning Algorithms and Representations for Text Categorization
– Susan Dumais, John Platt, Mehran Sahami, David Heckerman
- 1998
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39
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Theoretical Views of Boosting and Applications
– Robert E. Schapire
- 1999
|
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435
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A Short Introduction to Boosting
– Yoav Freund, Robert E. Schapire
- 1999
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5
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Using EM to Classify Text from Labeled and Unlabeled Documents
– Kamal Nigam , Andrew McCallum, Sebastian Thrun, Tom Mitchell
- 1998
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140
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Learning to Classify Text from Labeled and Unlabeled Documents
– Kamal Nigam, Andrew Mccallum, Tom Mitchell
- 1998
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41
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Using Unlabeled Data to Improve Text Classification
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- 2001
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13
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Feature Engineering for a Symbolic Approach to Text Classification
– Sam Scott
- 1998
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Literature Review
– Kiduk Yang
- 2001
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6
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Combining Text-, Link-, and Classification-based Retrieval Methods to Enhance Information Discovery on the Web
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- 2002
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8
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Applications of Machine Learning in Information Retrieval
– Sally Jo Cunningham, James Littin, Ian H. Witten
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Mining Text Data
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11
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Improving Algorithms for Boosting
– Javed A. Aslam
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