Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques

Yimin KaoNorth Carolina State University, Raleigh, NC ([email protected])

Brian ReichNorth Carolina State University 2311 Stinson Drive 4264 SAS Hall, Box 8203, Raleigh, 27695, NC ([email protected])

Curtis StorlieLos Alamos National Laboratory, Los Alamos, NM ([email protected])

Blake AndersonLos Alamos National Laboratory, Los Alamos, NM ([email protected])

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Youngmin Lee & Heeyoung Kim. (2020) Bayesian Nonparametric Joint Mixture Model for Clustering Spatially Correlated Time Series. Technometrics 62:3, pages 313-329.
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Articles from other publishers (4)

Stanford Martinez & Adel Alaeddini. (2022) A Laplacian‐regularized dual‐phase Gaussian process technique for semi‐supervised response surface modeling of black‐box functions. Quality and Reliability Engineering International 38:8, pages 4073-4098.
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José A. Perusquía, Jim E. Griffin & Cristiano Villa. (2021) Bayesian Models Applied to Cyber Security Anomaly Detection Problems. International Statistical Review 90:1, pages 78-99.
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Giuseppina Andresini, Annalisa Appice & Donato Malerba. 2020. Complex Pattern Mining. Complex Pattern Mining 173 187 .

Joseph Divita & Roger A. Hallman. (2017) An Approach to Botnet Malware Detection Using Nonparametric Bayesian Methods. An Approach to Botnet Malware Detection Using Nonparametric Bayesian Methods.

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Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques

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Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques

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