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» Using Machine Learning to Guide Architecture Simulation
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DAC
2008
ACM
14 years 9 months ago
Functional test selection based on unsupervised support vector analysis
Extensive software-based simulation continues to be the mainstream methodology for functional verification of designs. To optimize the use of limited simulation resources, coverag...
Onur Guzey, Li-C. Wang, Jeremy R. Levitt, Harry Fo...
DATE
2010
IEEE
185views Hardware» more  DATE 2010»
14 years 1 months ago
Fault diagnosis of analog circuits based on machine learning
— We discuss a fault diagnosis scheme for analog integrated circuits. Our approach is based on an assemblage of learning machines that are trained beforehand to guide us through ...
Ke Huang, Haralampos-G. D. Stratigopoulos, Salvado...
ICALT
2006
IEEE
14 years 2 months ago
Augmented Learning: Context-Aware Mobile Augmented Reality Architecture for Learning
Mobile Augmented Reality System (MARS) based elearning environments equip a learner with a mobile wearable see-through display that interacts with training/learning software. MARS...
Jayfus T. Doswell
ECTEL
2008
Springer
13 years 9 months ago
A Supporting Architecture for Generic Service Integration in IMS Learning Design
Abstract. Learning Design offers the possibility of capturing the process, activities, user organization and resources used in a learning experience. But a wider set of scenarios a...
Luis de la Fuente Valentín, Yongwu Miao, Ab...
FORTE
2008
13 years 9 months ago
Detecting Communication Protocol Security Flaws by Formal Fuzz Testing and Machine Learning
Network-based fuzz testing has become an effective mechanism to ensure the security and reliability of communication protocol systems. However, fuzz testing is still conducted in a...
Guoqiang Shu, Yating Hsu, David Lee