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» The Four Phase Method for Modelling Complex Systems
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IJCNN
2007
IEEE
16 years 1 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
199
Voted
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
16 years 20 days 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»
15 years 1 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
16 years 22 days 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
15 years 8 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