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» Analysis of Recursive State Machines
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ICASSP
2011
IEEE
14 years 1 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
DSN
2000
IEEE
15 years 2 months ago
Loki: A State-Driven Fault Injector for Distributed Systems
Distributed applications can fail in subtle ways that depend on the state of multiple parts of a system. This complicates the validation of such systems via fault injection, since...
Ramesh Chandra, Ryan M. Lefever, Michel Cukier, Wi...
ASE
2006
114views more  ASE 2006»
14 years 10 months ago
Explicit modeling of semantics associated with composite states in UML statecharts
: UML statecharts are used for describing dynamic aspects of system behavior. The work presented here extends a general Petri net-based methodology to support formal modeling of UM...
Zhaoxia Hu, Sol M. Shatz
IRREGULAR
1997
Springer
15 years 2 months ago
Parallel Shared-Memory State-Space Exploration in Stochastic Modeling
Stochastic modeling forms the basis for analysis in many areas, including biological and economic systems, as well as the performance and reliability modeling of computers and comm...
Susann C. Allmaier, Graham Horton
SRDS
2000
IEEE
15 years 2 months ago
Dynamic Node Management and Measure Estimation in a State-Driven Fault Injector
Validation of distributed systems using fault injection is difficult because of their inherent complexity, lack of a global clock, and lack of an easily accessible notion of a gl...
Ramesh Chandra, Michel Cukier, Ryan M. Lefever, Wi...