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» The Four Phase Method for Modelling Complex Systems
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IJCNN
2007
IEEE
15 years 4 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
15 years 3 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
JSS
2010
120views more  JSS 2010»
14 years 4 months ago
Handling communications in process algebraic architectural description languages: Modeling, verification, and implementation
Architectural description languages are a useful tool for modeling complex systems at a high level of abstraction. If based on formal methods, they can also serve for enabling the...
Marco Bernardo, Edoardo Bontà, Alessandro A...
IEEEPACT
2006
IEEE
15 years 4 months ago
Communist, utilitarian, and capitalist cache policies on CMPs: caches as a shared resource
As chip multiprocessors (CMPs) become increasingly mainstream, architects have likewise become more interested in how best to share a cache hierarchy among multiple simultaneous t...
Lisa R. Hsu, Steven K. Reinhardt, Ravishankar R. I...
OPODIS
2004
14 years 11 months ago
Embedded Systems - Challenges and Work Directions
Embedded Systems are components integrating software and hardware jointly and specifically designed to provide given functionalities. These components may be used in many different...
Joseph Sifakis