Text categorization by boosting automatically extracted concepts
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[1] Michael McGill,et al. Introduction to Modern Information Retrieval , 1983 .
[2] Richard A. Harshman,et al. Indexing by Latent Semantic Analysis , 1990, J. Am. Soc. Inf. Sci..
[3] Chris Buckley,et al. OHSUMED: an interactive retrieval evaluation and new large test collection for research , 1994, SIGIR '94.
[4] Susan T. Dumais,et al. Using Linear Algebra for Intelligent Information Retrieval , 1995, SIAM Rev..
[5] Susan T. Dumais,et al. Using LSI for information filtering: TREC-3 experiments , 1995 .
[6] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[7] Yiming Yang,et al. Noise reduction in a statistical approach to text categorization , 1995, SIGIR '95.
[8] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.
[9] Yoram Singer,et al. An Efficient Boosting Algorithm for Combining Preferences by , 2013 .
[10] Yoram Singer,et al. Improved Boosting Algorithms Using Confidence-rated Predictions , 1998, COLT' 98.
[11] David Haussler,et al. Exploiting Generative Models in Discriminative Classifiers , 1998, NIPS.
[12] Andrew McCallum,et al. Distributional clustering of words for text classification , 1998, SIGIR '98.
[13] Thomas Hofmann,et al. ProbMap - A probabilistic approach for mapping large document collections , 2000, Intell. Data Anal..
[14] Ran El-Yaniv,et al. On feature distributional clustering for text categorization , 2001, SIGIR '01.
[15] Nello Cristianini,et al. Learning Semantic Similarity , 2002, NIPS.
[16] Nello Cristianini,et al. Latent Semantic Kernels , 2001, Journal of Intelligent Information Systems.
[17] Thomas Hofmann,et al. Unsupervised Learning by Probabilistic Latent Semantic Analysis , 2004, Machine Learning.
[18] Yoram Singer,et al. BoosTexter: A Boosting-based System for Text Categorization , 2000, Machine Learning.