@article{6f40466e9d7843c7ba95dd9bafade35d,
title = "Deployable Classifiers for Malware Detection",
author = "Anshuman Singh and Sumi Singh and Andrew Walenstein and Arun Lakhotia",
note = "Part of the Communications in Computer and Information Science book series (CCIS, volume 285) The application of machine learning methods to malware detection has opened up possibilities of generating large number of classifiers that use different kinds of features and learning algorithms. A straightforward way to select the best classifier is to pick the one with best holdout or cross-validation performance.",
year = "2012",
month = mar,
day = "28",
doi = "10.1007/978-3-642-29166-1\_34",
language = "American English",
journal = "International Conference on Information Systems, Technology and Management",
}