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» The Complexity of Valued Constraint Models
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120
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MICRO
2006
IEEE
127views Hardware» more  MICRO 2006»
15 years 7 months ago
A Predictive Performance Model for Superscalar Processors
Designing and optimizing high performance microprocessors is an increasingly difficult task due to the size and complexity of the processor design space, high cost of detailed si...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...
119
Voted
SIGSOFT
2006
ACM
16 years 2 months ago
Scenarios, goals, and state machines: a win-win partnership for model synthesis
Models are increasingly recognized as an effective means for elaborating requirements and exploring designs. For complex systems, model building is far from an easy task. Efforts ...
Christophe Damas, Bernard Lambeau, Axel van Lamswe...
107
Voted
DATE
1999
IEEE
120views Hardware» more  DATE 1999»
15 years 6 months ago
Hardware Synthesis from C/C++ Models
Software programming languages, such as C/C++, have been used as means for specifying hardware for quite a while. Different design methodologies have exploited the advantages of f...
Giovanni De Micheli
118
Voted
COGSCI
2010
125views more  COGSCI 2010»
15 years 1 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson
TNN
2010
143views Management» more  TNN 2010»
14 years 8 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...