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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 3 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
INFOCOM
2012
IEEE
13 years 2 days ago
Stochastic analysis of horizontal IP scanning
—Intrusion Detection Systems (IDS) have become ubiquitous in the defense against virus outbreaks, malicious exploits of OS vulnerabilities, and botnet proliferation. As attackers...
Derek Leonard, Zhongmei Yao, Xiaoming Wang, Dmitri...
TSP
2008
121views more  TSP 2008»
14 years 9 months ago
Stochastic Analysis of the LMS Algorithm for System Identification With Subspace Inputs
This paper studies the behavior of the low-rank least mean squares (LMS) adaptive algorithm for the general case in which the input transformation may not capture the exact input s...
Neil J. Bershad, José Carlos M. Bermudez, J...
QEST
2008
IEEE
15 years 4 months ago
Debugging of Dependability Models Using Interactive Visualization of Counterexamples
Abstract—We present an approach to support the debugging of stochastic system models using interactive visualization. The goal of this work is to facilitate the identification o...
Husain Aljazzar, Stefan Leue
TCS
2010
14 years 4 months ago
A fluid analysis framework for a Markovian process algebra
Markovian process algebras, such as PEPA and stochastic -calculus, bring a powerful compositional approach to the performance modelling of complex systems. However, the models gen...
Richard A. Hayden, Jeremy T. Bradley