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AI
1998
Springer
13 years 11 months ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
EVOW
2003
Springer
14 years 8 days ago
GAME-HDL: Implementation of Evolutionary Algorithms Using Hardware Description Languages
Evolutionary Algorithms (EAs) have been proposed as a very powerful heuristic optimization technique to solve complex problems. Many case studies have shown that they work very eff...
Rolf Drechsler, Nicole Drechsler
ATAL
2008
Springer
13 years 9 months ago
Searching for approximate equilibria in empirical games
When exploring a game over a large strategy space, it may not be feasible or cost-effective to evaluate the payoff of every relevant strategy profile. For example, determining a p...
Patrick R. Jordan, Yevgeniy Vorobeychik, Michael P...
DAC
2005
ACM
14 years 8 months ago
Race-condition-aware clock skew scheduling
The race conditions often limit the smallest feasible clock period that the optimal clock skew scheduling can achieve. Therefore, the combination of clock skew scheduling and dela...
Shih-Hsu Huang, Yow-Tyng Nieh, Feng-Pin Lu
FPGA
2005
ACM
80views FPGA» more  FPGA 2005»
14 years 17 days ago
Simultaneous timing-driven placement and duplication
Logic duplication is an effective method for improving circuit performance. In this paper we present an algorithm named SPD that performs simultaneous placement and duplication to...
Gang Chen, Jason Cong