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ATS
2003
IEEE
105views Hardware» more  ATS 2003»
14 years 20 days ago
Minimizing Defective Part Level Using a Linear Programming-Based Optimal Test Selection Method
Recent probabilistic test generation approaches have proven that detecting single stuck-at faults multiple times is effective at reducing the defective part level (DPL). Unfortuna...
Yuxin Tian, Michael R. Grimaila, Weiping Shi, M. R...
ICTAI
2009
IEEE
14 years 2 months ago
Evolution Strategies for Constants Optimization in Genetic Programming
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
César Luis Alonso, José Luis Monta&n...
CORR
2007
Springer
126views Education» more  CORR 2007»
13 years 7 months ago
Linear Tabling Strategies and Optimizations
Recently there has been a growing interest of research in tabling in the logic programming community because of its usefulness in a variety of application domains including progra...
Neng-Fa Zhou, Taisuke Sato, Yi-Dong Shen
JMLR
2006
92views more  JMLR 2006»
13 years 7 months ago
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
Anders Bergkvist, Peter Damaschke, Marcel Lüt...
ISQED
2006
IEEE
118views Hardware» more  ISQED 2006»
14 years 1 months ago
Localized On-Chip Power Delivery Network Optimization via Sequence of Linear Programming
— In this paper, we propose an efficient algorithm to reduce the voltage noises for on-chip power/ground (P/G) networks of VLSI. The new method is based on the sequence of linea...
Jeffrey Fan, I-Fan Liao, Sheldon X.-D. Tan, Yici C...