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ESANN
2001
15 years 5 months ago
A divide-and-conquer learning architecture for predicting unknown motion
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
Patrice Wira, Jean-Philippe Urban, Julien Gresser
ISPAN
1999
IEEE
15 years 8 months ago
Using Stochastic Intervals to Predict Application Behavior on Contended Resources
Current distributed parallel platforms can provide the resources required to execute a scientific application efficiently. However, when these platforms are shared by multiple use...
Jennifer M. Schopf, Francine Berman
KES
2007
Springer
15 years 3 months ago
An Application of Machine Learning Methods to PM10 Level Medium-Term Prediction
The study described in this paper, analyzed the urban and suburban air pollution principal causes and identified the best subset of features (meteorological data and air pollutants...
Giovanni Raimondo, Alfonso Montuori, Walter Moniac...
JSS
2002
198views more  JSS 2002»
15 years 3 months ago
Automated discovery of concise predictive rules for intrusion detection
This paper details an essential component of a multi-agent distributed knowledge network system for intrusion detection. We describe a distributed intrusion detection architecture...
Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les...
ICSE
2004
IEEE-ACM
16 years 4 months ago
Architecture-Based Reliability Prediction for Service-Oriented Computing
In service-oriented computing, services are dynamically built as an assembly of pre-existing, independently developed, network accessible services. Hence, predicting as much as pos...
Vincenzo Grassi