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NIPS
2008
13 years 9 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
CVPR
2009
IEEE
15 years 2 months ago
Automatic Reconstruction of Cities from Remote Sensor Data
In this paper, we address the complex problem of rapid modeling of large-scale areas and present a novel approach for the automatic reconstruction of cities from remote sensor da...
Charalambos Poullis (CGIT/IMSC/USC), Suya You (Uni...
HICSS
2007
IEEE
174views Biometrics» more  HICSS 2007»
14 years 2 months ago
A Comparison of Statistical Approaches for Genetic Anticipation with Application to Pancreatic Cancer
Genetic anticipation for a particular disease can involve an earlier age at onset (or, diagnosis), greater severity, and/or a higher number of affected individuals in successive g...
Gleb R. Haynatzki, Randall E. Brand, Vera R. Hayna...
ICDT
2010
ACM
211views Database» more  ICDT 2010»
14 years 5 months ago
Probabilistic Data Exchange
The work reported here lays the foundations of data exchange in the presence of probabilistic data. This requires rethinking the very basic concepts of traditional data exchange, ...
Ronald Fagin, Benny Kimelfeld, Phokion Kolaitis
BMCBI
2008
166views more  BMCBI 2008»
13 years 7 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf