Information Conversion, Effective Samples, and Parameter Size, (with J. Pittman and B. Clarke), 2007. IEEE Transactions onInformation Theory. In press
Privacy Preserving Analysis of Vertically Partitioned Data Using Secure Matrix Products, (with A. Karr, A. Sanil and J. Reiter),
2007. Journal of Official Statistics. Accepted Active Learning from Data Streams, (with X. Zhu, P. Zhang and Y.
Shi),
2007. In Proceedings
of 2007 IEEE International Conference
on Data Mining.
Secure, Privacy-Preserving Analysis of Distributed Databases, (with A. Karr, W. Fulp , J. Reiter, F. Vera and S. Young), 2007. Technometrics. Accepted
Secure Analysis of Distributed Chemical Databases without Data Integration, (with A. Karr, J. Feng, A. Sanil and S. Young), 2006. Journal of Computer Aided Molecular Design. In press Gene Selection Using Support Vector Machines with Nonconcave Penalty, (with H. Zhang, J. Ahn and C. Park), 2006. Bioinformatics. 22(1), 88-95.6. Privacy Preserving
Clustering with Distributed EM Mixture Modeling,
(with C. Clifton and Y. Zhu), 2005. Journal of Knowledge and
Information Systems. 8:
68-81.
Secure Regression on Distributed Databases, (with A.
Karr, A.
Sanil and J. Reiter), 2005. Journal of Graphical and Computational
Statistics. 14: 263
- 279.
Secure Statistical Analysis of Distributed Databases,
(with
A. Karr,
A. Sanil and J. Reiter), 2005. Book Chapter, Statistical
Methods in Counterterrorism. ASA-SIAM Series
on Statistics and
Applied Probability. D. Olwell and A. G. Wilson, eds.
Learning Metabolomic Datasets with Random Forests and Support Vector Machines,
(with Y. Truong, C. Beecher, A. Cutler and S. Young), 2004. In Proceedings of Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Privacy Preserving Regression Modelling via Distributed Computation,
(with A. Sanil, A. Karr and J. Reiter), 2004. In Proceedings of Tenth ACM SIGKDD International Conference on Knowledge Discovery Degenerated
Expectation Maximization for Local Dimension Reduction,
(with Y. Zhu), 2004. In
Proceedings of 2004 Meeting of
International Federation of Classification
Societies.
Active and Passive Learning to Explore a Complex Metabolism Data Set,(with S. Simmons, C. Beecher, Y. Truong and S. Young), 2004. In Proceedings of 2004 Meeting of International Federation ofClassification Societies.
Analysis of Integrated Data without Data Integration, (with A. Karr, A. Sanil and J. Reiter), 2004. Chance, vol.17, no.3. Tools
for Privacy Preserving Distributed Data Mining,
(with C.
Explorations, vol.2,
no.2.
Semantic Video Classification by Integrating Flexible Mixture Model with Adaptive EM Algorithm, (with J. Fan and H. Luo), 2003.
Multimedia Information Retrieval, 2003: 9-16. Methods of Secure Computation and Data Integration, (with A. karr, J. Reiter and A. Sanil), 2005. United Nations Statistical
Commission and Economic Commission Conference for EuropeanStatisticians.
Secure Regression for Vertically Partitioned, Partially
Overlapping Data, (with J.
Reiter, C. Kohnen, A. Karr and A.
Sanil), 2005. In
Proceedings of 2005 Joint Statistical Meeting.
Regression on distributed databases via secure multi-party computation, (with A. Karr, J. Reiter and A. Sanil), 2004. In
Proceedings of 2004 ACM National Conference on Digital Government Research. Privacy Preserving Maximum Likelihood Estimation, (with A. Karr).
A Distributed
Framework for Privacy-Preserving Support Vector
Machines
Construction, (with Y. Gao and X. Lin).
Statistical Analysis on a Complex Metabolomic Dataset, (with S. Simons, C. Beecher, Y. Truong and S. Young). Empirical study: What are the factors that influence the