Improving Text Classification by Shrinkage in a Hierarchy of Classes (1998)

by Andrew Mccallum , Ronald Rosenfeld , Tom Mitchell , Andrew Ng
Citations:203 - 5 self

Active Bibliography

41 Using Unlabeled Data to Improve Text Classification – Kamal Paul Nigam - 2001
140 Learning to Classify Text from Labeled and Unlabeled Documents – Kamal Nigam, Andrew Mccallum, Tom Mitchell - 1998
632 Text Classification from Labeled and Unlabeled Documents using EM – Kamal Nigam, Andrew Kachites Mccallum, Sebastian Thrun, Tom Mitchell - 1999
5 Using EM to Classify Text from Labeled and Unlabeled Documents – Kamal Nigam , Andrew McCallum, Sebastian Thrun, Tom Mitchell - 1998
187 Learning to Construct Knowledge Bases from the World Wide Web – Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom Mitchell, Kamal Nigam, Sean Slattery - 2000
198 Employing EM in Pool-Based Active Learning for Text Classification – Andrew Mccallum, Kamal Nigam - 1998
1 Multi-Label, Multiclass Document Classification with a Mixture Model Trained by EM – Andrew Kachites Mccallum
290 Learning to Extract Symbolic Knowledge from the World Wide Web – Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom Mitchell, Kamal Nigam, Sean Slattery - 1998
9 Discretization for naive-Bayes learning: managing discretization bias and variance – Ying Yang, Geoffrey I. Webb - 2003
6 Combining Text-, Link-, and Classification-based Retrieval Methods to Enhance Information Discovery on the Web – Kiduk Yang - 2002
198 Distributional Clustering of Words for Text Classification – L. Douglas Baker, Andrew Kachites Mccallum - 1998
839 Machine Learning in Automated Text Categorization – Fabrizio Sebastiani, Consiglio Nazionale Delle Ricerche - 2002
16 Machine Learning in Automated Text Categorisation – Fabrizio Sebastiani - 1999
Mining Text Data – Charu C. Aggarwal, Chengxiang Zhai (eds.)
Literature Review – Kiduk Yang - 2001
533 A Re-Examination of Text Categorization Methods – Yiming Yang, Xin Liu - 1999
619 A comparison of event models for Naive Bayes text classification – Andrew McCallum, Kamal Nigam - 1998
Abstraction-based probabilistic models for sequence classification – Cornelia Caragea - 2009
Text Categorization with a Small Number of . . . – Kang Hyuk Lee - 2003