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Jun Zhao, Satya S. Sahoo, Paolo Missier, Amit Sheth, Carole Goble. Extending Semantic Provenance into the Web of Data. Provenance in Web Applications. 2011 ;:40-48.  (517.86 KB)
Y. Zhao, Shaojun Wang. Almost Sure Convergence of Titterington's Recursive Estimator for Finite Mixture Models. Statistics & Probability Letters. 2006 ;:2001-1006.  (144.38 KB)
Y. Zhao, Shaojun Wang, D. Schuurmans, F. Peng. Boltzmann Machine Learning with the Latent Maximum Entropy Principle. In Boltzmann Machine Learning with the Latent Maximum Entropy Principle. 2003.
Zhaohui Zheng, Hongyuan Zha, Gordon Sun, Olivier Chapelle, Keke Chen, Tong Zhang. A General Boosting Method and its Application to Learning Ranking Functions for Web Search. In A General Boosting Method and its Application to Learning Ranking Functions for Web Search. 2007.  (0 bytes)
Lei Zheng, Yan Liu, Shaojun Wang. Information Theoretic Regularization for Semi-Supervised Boosting. In Knowledge Discovery and Data Mining - KDD2009. Paris, France; 2009.  (369.35 KB)
Lu Zhou, Wenbo Wang, Keke Chen. Tweet Properly: Analyzing Deleted Tweets to Understand and Identify Regrettable Ones. 25th International World Wide Web Conference (WWW 2016). Montreal, Canada: ACM; 2016. p. 603-612.  (367.25 KB)
Gang Zhou, Jianwen Su, Richard Hull, Bharat Kumar, Guozhu Dong, Francois Llirbat. Efficient support for decision flows in e-commerce applications. In Efficient support for decision flows in e-commerce applications. 1999.
Yue Zhou, Thomas Wischgoll, Leslie Blaha, Ross Smith, Rhonda Vickery. Visualizing Confusion Matrices for Multidimensional Signal Detection Correlational Methods. Visualization and Data Analysis (VDA 2014). San Francisco, CA; 2014.
Gang Zhou, Bharat Kumar, Guozhu Dong, Richard Hull, Jianwen Su. A Framework for Optimising Distributed Workflow Executions. 1999 ;.
Wei Zou, Jiawei Han, Jian Pei, Guozhu Dong. On Computing Condensed Frequent Pattern Bases. 2002 ;.

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