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» On the complexity of hierarchical problem solving
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DAC
2002
ACM
16 years 7 months ago
A solenoidal basis method for efficient inductance extraction
The ability to compute the parasitic inductance of the interconnect is critical to the timing verification of modern VLSI circuits. A challenging aspect of inductance extraction i...
Hemant Mahawar, Vivek Sarin, Weiping Shi
205
Voted
ICML
2009
IEEE
16 years 7 months ago
SimpleNPKL: simple non-parametric kernel learning
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
206
Voted
CEC
2009
IEEE
16 years 1 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
154
Voted
PRDC
2007
IEEE
16 years 1 months ago
Failure Detectors and Extended Paxos for k-Set Agreement
Failure detector class Ωk has been defined in [18] as an extension to failure detector Ω, and an algorithm has been given in [16] to solve k-set agreement using Ωk in async...
Wei Chen, Jialin Zhang, Yu Chen, Xuezheng Liu
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
16 years 1 months ago
Evolving virtual creatures revisited
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...
Peter Krcah