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» Intrusion Detection with Neural Networks
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BC
2000
95views more  BC 2000»
13 years 7 months ago
Cerebellar learning of accurate predictive control for fast-reaching movements
Long conduction delays in the nervous system prevent the accurate control of movements by feedback control alone. We present a new, biologically plausible cerebellar model to study...
Jacob Spoelstra, Nicolas Schweighofer, Michael A. ...
ECAI
2008
Springer
13 years 9 months ago
Intelligent adaptive monitoring for cardiac surveillance
Monitoring patients in intensive care units is a critical task. Simple condition detection is generally insufficient to diagnose a patient and may generate many false alarms to the...
Lucie Callens, Guy Carrault, Marie-Odile Cordier, ...
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
14 years 8 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
AINA
2010
IEEE
14 years 1 months ago
Minimizing Execution Costs when Using Globally Distributed Cloud Services
Cloud computing is an emerging technology that allows users to utilize on-demand computation, storage, data and services from around the world. However, Cloud service providers ch...
Suraj Pandey, Adam Barker, Kapil Kumar Gupta, Rajk...
SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
14 years 22 days ago
Towards proximity pattern mining in large graphs
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Arijit Khan, Xifeng Yan, Kun-Lung Wu