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» Processing of Data Streams with Prediction Functions
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JMLR
2006
132views more  JMLR 2006»
14 years 9 months ago
Learning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
Jeremy Z. Kolter, Marcus A. Maloof
JSA
2000
175views more  JSA 2000»
14 years 9 months ago
Complete worst-case execution time analysis of straight-line hard real-time programs
In this article, the problem of finding a tight estimate on the worst-case execution time (WCET) of a real-time program is addressed. The analysis is focused on straight-line code...
Friedhelm Stappert, Peter Altenbernd
CASES
2006
ACM
15 years 3 months ago
Integrated scratchpad memory optimization and task scheduling for MPSoC architectures
Multiprocessor system-on-chip (MPSoC) is an integrated circuit containing multiple instruction-set processors on a single chip that implements most of the functionality of a compl...
Vivy Suhendra, Chandrashekar Raghavan, Tulika Mitr...
BMCBI
2010
149views more  BMCBI 2010»
14 years 9 months ago
Identifying common prognostic factors in genomic cancer studies: A novel index for censored outcomes
Background: With the growing number of public repositories for high-throughput genomic data, it is of great interest to combine the results produced by independent research groups...
Sigrid Rouam, Thierry Moreau, Philippe Broët
QRE
2008
140views more  QRE 2008»
14 years 9 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...