Joshua V. Dillon: Publications

2008

J. Dillon and G. Lebanon, Statistical and Computational Tradeoffs in Stochastic Composite Likelihood. Technical Report 08-04, Department of Statistics, Purdue University, 2008.

2007

G. Lebanon, Y. Mao, and J. Dillon. The Locally Weighted Bag of Words Framework for Document Representation. Journal of Machine Learning Research 8(Oct):2405-2441, 2007.
Y. Mao, J. Dillon, G. Lebanon, Sequential Document Visualization. IEEE Transactions on Visualization and Computer Graphics, 13(6) 2007.
J. Dillon, Y. Mao, G. Lebanon, and J. Zhang. Statistical Translation, Heat Kernels, and Expected Distance. Proc. of the 23rd Conference on Uncertainty in Artificial Intelligence, 2007.

2006

J. Dillon, Y. Mao, G. Lebanon, and J. Zhang. Statistical Translation, Heat Kernels, and Expected Distance. NIPS workshop on Learning to Compare Examples, 2006.

Presentations

J. Dillon, Y. Mao, G. Lebanon, and J. Zhang. Statistical Translation, Heat Kernels, and Expected Distance. Proc. of the 23rd Conference on Uncertainty in Artificial Intelligence, University of British Columbia, Vancouver, Canada, July 20, 2007.
J. Dillon, J. Baumohl, D. Casner, A. Copeland and D. Pletcher. Isolation of Production Modi Operandi Correlated with Anomalous Behavior. Lawrence Livermore National Laboratory 2006 Student Poster Symposium, 2006.
D. Casner, J. Dillon and D. Pletcher. Closed Loop Optimization of Gene Sequencing Run Times. Lawrence Livermore National Laboratory 2006 Student Poster Symposium, 2006.