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ACL
2009
13 years 5 months ago
Efficient Inference of CRFs for Large-Scale Natural Language Data
This paper presents an efficient inference algorithm of conditional random fields (CRFs) for large-scale data. Our key idea is to decompose the output label state into an active s...
Minwoo Jeong, Chin-Yew Lin, Gary Geunbae Lee
AMW
2010
13 years 9 months ago
Chasing after Secrets in Relational Databases
Abstract. Inference control can guarantee confidentiality but is costly to implement. Access control can be implemented efficiently but cannot guarantee confidentiality. Hence, it ...
Joachim Biskup, Sven Hartmann, Sebastian Link, Jan...
INFOCOM
2003
IEEE
14 years 25 days ago
Topology Inference in the Presence of Anonymous Routers
— Many topology discovery systems rely on traceroute to discover path information in public networks. However, for some routers, traceroute detects their existence but not their ...
Bin Yao, Ramesh Viswanathan, Fangzhe Chang, Dan G....
AAAI
2006
13 years 9 months ago
Performing Incremental Bayesian Inference by Dynamic Model Counting
The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...
Wei Li 0002, Peter van Beek, Pascal Poupart
UAI
1998
13 years 9 months ago
Large Deviation Methods for Approximate Probabilistic Inference
We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...
Michael J. Kearns, Lawrence K. Saul