Shi Zhong

Affiliations:
  • Yahoo Inc., Data Mining and Research, SDS-Data Mining Research, Sunnyvale, CA, USA
  • Florida Atlantic University, Department of Computer Science and Engineering, Boca Raton, FL, USA
  • University of Texas at Austin, Department of Electrical and Computer Engineering, TX, USA (PhD)


According to our database1, Shi Zhong authored at least 18 papers between 1999 and 2008.

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Timeline

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Bibliography

2008
Isrl: Intelligent Search by Reinforcement Learning in Unstructured Peer-to-peer Networks.
Int. J. Parallel Emergent Distributed Syst., 2008

2007
Enhancing semi-supervised clustering: a feature projection perspective.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006
Semi-supervised model-based document clustering: A comparative study.
Mach. Learn., 2006

2005
Efficient streaming text clustering.
Neural Networks, 2005

Generative model-based document clustering: a comparative study.
Knowl. Inf. Syst., 2005

Semi-Supervised Sequence Classification With Hmms.
Int. J. Pattern Recognit. Artif. Intell., 2005

Enhancing software quality estimation using ensemble-classifier based noise filtering.
Intell. Data Anal., 2005

Efficient online spherical k-means clustering.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

A Clustering Approach to Wireless Network Intrusion Detection.
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

Intrusion detection in wireless networks using clustering techniques with expert analysis.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Analyzing Software Quality with Limited Fault-Proneness Defect Data.
Proceedings of the Ninth IEEE International Symposium on High Assurance Systems Engineering (HASE 2005), 2005

2004
Analyzing Software Measurement Data with Clustering Techniques.
IEEE Intell. Syst., 2004

Semi-Supervised Learning for Software Quality Estimation.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

Unsupervised Learning for Expert-Based Software Quality Estimation.
Proceedings of the 8th IEEE International Symposium on High-Assurance Systems Engineering (HASE 2004), 2004

2003
A Unified Framework for Model-based Clustering.
J. Mach. Learn. Res., 2003

Scalable, Balanced Model-based Clustering.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

2000
Image Denoising Using Wavelet Thresholding and Model Selection.
Proceedings of the 2000 International Conference on Image Processing, 2000

1999
Factors controlling generalization ability of MLP networks.
Proceedings of the International Joint Conference Neural Networks, 1999


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