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» Using Bayesian networks to analyze expression data
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HPDC
2010
IEEE
15 years 26 days ago
ParaText: scalable text modeling and analysis
Automated analysis of unstructured text documents (e.g., web pages, newswire articles, research publications, business reports) is a key capability for solving important problems ...
Daniel M. Dunlavy, Timothy M. Shead, Eric T. Stant...
KES
2007
Springer
14 years 11 months ago
An Application of Machine Learning Methods to PM10 Level Medium-Term Prediction
The study described in this paper, analyzed the urban and suburban air pollution principal causes and identified the best subset of features (meteorological data and air pollutants...
Giovanni Raimondo, Alfonso Montuori, Walter Moniac...
INFOCOM
2010
IEEE
14 years 10 months ago
A Balanced Consistency Maintenance Protocol for Structured P2P Systems
—A fundamental challenge of managing mutable data replication in a Peer-to-Peer (P2P) system is how to efficiently maintain consistency under various sharing patterns with heter...
Yi Hu, Min Feng, Laxmi N. Bhuyan
POPL
2012
ACM
13 years 7 months ago
Probabilistic relational reasoning for differential privacy
Differential privacy is a notion of confidentiality that protects the privacy of individuals while allowing useful computations on their private data. Deriving differential priva...
Gilles Barthe, Boris Köpf, Federico Olmedo, S...
IMC
2004
ACM
15 years 5 months ago
Characteristics of internet background radiation
Monitoring any portion of the Internet address space reveals incessant activity. This holds even when monitoring traffic sent to unused addresses, which we term “background rad...
Ruoming Pang, Vinod Yegneswaran, Paul Barford, Ver...