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» Compositional Verification of Probabilistic Systems Using Le...
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SIGIR
2009
ACM
15 years 5 months ago
Feature selection for automatic taxonomy induction
Most existing automatic taxonomy induction systems exploit one or more features to induce a taxonomy; nevertheless there is no systematic study examining which are the best featur...
Hui Yang, Jamie Callan
AI
2002
Springer
14 years 11 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
RAID
2007
Springer
15 years 5 months ago
Exploiting Execution Context for the Detection of Anomalous System Calls
Attacks against privileged applications can be detected by analyzing the stream of system calls issued during process execution. In the last few years, several approaches have been...
Darren Mutz, William K. Robertson, Giovanni Vigna,...
EMNLP
2008
15 years 16 days ago
Sampling Alignment Structure under a Bayesian Translation Model
We describe the first tractable Gibbs sampling procedure for estimating phrase pair frequencies under a probabilistic model of phrase alignment. We propose and evaluate two nonpar...
John DeNero, Alexandre Bouchard-Côté,...
NAACL
2007
15 years 15 days ago
Chinese Named Entity Recognition with Cascaded Hybrid Model
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically wellfounded machine learning method to combine a set of...
Xiaofeng Yu