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» The Four Phase Method for Modelling Complex Systems
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ASPDAC
2006
ACM
109views Hardware» more  ASPDAC 2006»
15 years 9 months ago
Cycle error correction in asynchronous clock modeling for cycle-based simulation
— As the complexity of SoCs is increasing, hardware/software co-verification becomes an important part of system verification. C-level cycle-based simulation could be an efficien...
Junghee Lee, Joonhwan Yi
SMC
2007
IEEE
110views Control Systems» more  SMC 2007»
15 years 9 months ago
A validity index based on cluster symmetry
— An important consideration in clustering is the determination of the correct number of clusters and the appropriate partitioning of a given data set. In this paper, a newly dev...
Sriparna Saha, Sanghamitra Bandyopadhyay
NAACL
1994
15 years 4 months ago
Tree-Based State Tying for High Accuracy Modelling
The key problem to be faced when building a HMM-based continuous speech recogniser is maintaining the balance between model complexity and available training data. For large vocab...
S. J. Young, J. J. Odell, Philip C. Woodland
WOSP
2010
ACM
15 years 10 months ago
A general result for deriving product-form solutions in markovian models
In this paper we provide a general method to derive productform solutions for stochastic models. We take inspiration from the Reversed Compound Agent Theorem [14] and we provide a...
Andrea Marin, Maria Grazia Vigliotti
117
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ICTAI
2006
IEEE
15 years 9 months ago
Intelligent Optimization via Learnable Evolution Model
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...
Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A....