To be or not to be IID: Can Zipf's Law help?
暂无分享,去创建一个
William M. Pottenger | Christie Nelson | Brian D. Knopp | Zachary Wheeler | Leo Behe | Brian Knopp | W. Pottenger | C. Nelson | Leo Behe | Zachary Wheeler
[1] C. Nelson,et al. Nuclear detection using Higher-Order topic modeling , 2012, 2012 IEEE Conference on Technologies for Homeland Security (HST).
[2] Lyle H. Ungar,et al. Statistical Relational Learning for Link Prediction , 2003 .
[3] William M. Pottenger,et al. A framework for understanding Latent Semantic Indexing (LSI) performance , 2006, Inf. Process. Manag..
[4] William M. Pottenger,et al. Higher Order Naïve Bayes: A Novel Non-IID Approach to Text Classification , 2011, IEEE Transactions on Knowledge and Data Engineering.
[5] William M. Pottenger,et al. Modeling Microtext with Higher Order Learning , 2013, AAAI Spring Symposium: Analyzing Microtext.
[6] Michael A. Shepherd,et al. An N-Gram Based Approach to Automatically Identifying Web Page Genre , 2009, 2009 42nd Hawaii International Conference on System Sciences.
[7] William M. Pottenger,et al. Leveraging Higher Order Dependencies Between Features for Text Classification , 2009 .
[8] Laila Khreisat,et al. A machine learning approach for Arabic text classification using N-gram frequency statistics , 2009, J. Informetrics.
[9] William M. Pottenger,et al. A Framework for Understanding LSI Performance , 2004 .
[10] Jack Duffy,et al. An N-gram Based Approach to Automatically Identifying Web Page Genre , 2009 .
[11] Laila Khreisat,et al. Arabic Text Classification Using N-Gram Frequency Statistics A Comparative Study , 2006, DMIN.
[12] C. V. Jawahar,et al. Robust Recognition of Degraded Documents Using Character N-Grams , 2012, 2012 10th IAPR International Workshop on Document Analysis Systems.
[13] W. B. Cavnar,et al. N-gram-based text categorization , 1994 .