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BMCBI
2006
134views more  BMCBI 2006»
14 years 9 months ago
Application of machine learning in SNP discovery
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
RTAS
2006
IEEE
15 years 3 months ago
Network-Code Machine: Programmable Real-Time Communication Schedules
Distributed hard real-time systems require guaranteed communication. One common approach is to restrict network access by enforcing a time-division multiple access (TDMA) schedule...
Sebastian Fischmeister, Oleg Sokolsky, Insup Lee
PE
2007
Springer
137views Optimization» more  PE 2007»
14 years 9 months ago
A prediction method for job runtimes on shared processors: Survey, statistical analysis and new avenues
Grid computing is an emerging technology by which huge numbers of processors over the world create a global source of processing power. Their collaboration makes it possible to pe...
Menno Dobber, Robert D. van der Mei, Ger Koole
BIBM
2007
IEEE
159views Bioinformatics» more  BIBM 2007»
15 years 3 months ago
Predicting Future High-Cost Patients: A Real-World Risk Modeling Application
Health care data from patients in the Arizona Health Care Cost Containment System, Arizona’s Medicaid program, provides a unique opportunity to exploit state-of-the-art data pro...
Sai T. Moturu, William G. Johnson, Huan Liu
89
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RAID
2000
Springer
15 years 1 months ago
A Real-Time Intrusion Detection System Based on Learning Program Behavior
Abstract. In practice, most computer intrusions begin by misusing programs in clever ways to obtain unauthorized higher levels of privilege. One e ective way to detect intrusive ac...
Anup K. Ghosh, Christoph C. Michael, Michael Schat...