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WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
12 years 3 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
RTCSA
2006
IEEE
14 years 1 months ago
An RTOS API Translator for Model-Driven Embedded Software Development
In this paper, we present a model-driven approach to RTOS-based embedded software development and an automated tool that can produce RTOS-specific code. Our contributions are two ...
Ji Chan Maeng, Jong-Hyuk Kim, Minsoo Ryu
NN
2000
Springer
128views Neural Networks» more  NN 2000»
13 years 7 months ago
A recurrent neural network for solving linear projection equations
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
Youshen Xia, Jun Wang
ICFEM
2009
Springer
13 years 5 months ago
Graded-CTL: Satisfiability and Symbolic Model Checking
In this paper we continue the study of a strict extension of the Computation Tree Logic, called graded-CTL, recently introduced by the same authors. This new logic augments the sta...
Alessandro Ferrante, Margherita Napoli, Mimmo Pare...
JCSS
2008
81views more  JCSS 2008»
13 years 7 months ago
A simulator for adaptive parallel applications
Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. Detailed simulations can help identify...
Basile Schaeli, Sebastian Gerlach, Roger D. Hersch