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ISSA
2004
13 years 10 months ago
Utilizing Neural Networks For Effective Intrusion Detection
Computer security, and intrusion detection in particular, has become increasingly important in today's business environment, to help ensure safe and trusted commerce between ...
Martin Botha
ICCS
2003
Springer
14 years 1 months ago
A Compiler Approach to Performance Prediction Using Empirical-Based Modeling
Abstract. Performance understanding and prediction are extremely important goals for guiding the application of program optimizations or in helping programmers focus their efforts...
Pedro C. Diniz
BMCBI
2011
13 years 9 days ago
Robust joint analysis allowing for model uncertainty in two-stage genetic association studies
Background: The cost efficient two-stage design is often used in genome-wide association studies (GWASs) in searching for genetic loci underlying the susceptibility for complex di...
Dongdong Pan, Qizhai Li, Ningning Jiang, Aiyi Liu,...
ICMLA
2009
14 years 5 months ago
Statistical Decision Making for Authentication and Intrusion Detection
User authentication and intrusion detection differ from standard classification problems in that while we have data generated from legitimate users, impostor or intrusion data is s...
Christos Dimitrakakis, Aikaterini Mitrokotsa
ACII
2007
Springer
14 years 2 months ago
Investigating Human Tutor Responses to Student Uncertainty for Adaptive System Development
We use a χ2 analysis on our spoken dialogue tutoring corpus to investigate dependencies between uncertain student answers and 9 dialogue acts the human tutor uses in his response ...
Katherine Forbes-Riley, Diane J. Litman