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...
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...
: 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...
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...
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...