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ASPDAC
2009
ACM
115views Hardware» more  ASPDAC 2009»
14 years 2 months ago
Incremental and on-demand random walk for iterative power distribution network analysis
— Power distribution networks (PDNs) are designed and analyzed iteratively. Random walk is among the most efficient methods for PDN analysis. We develop in this paper an increme...
Yiyu Shi, Wei Yao, Jinjun Xiong, Lei He
ICANN
2005
Springer
14 years 1 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
WCW
2004
Springer
14 years 1 months ago
Distributed Hashtable on Pre-structured Overlay Networks
Internet overlay services must adapt to the substrate network topology and link properties to achieve high performance. A common overlay structure management layer is desirable fo...
Kai Shen, Yuan Sun
BMCBI
2006
105views more  BMCBI 2006»
13 years 8 months ago
CRNPRED: highly accurate prediction of one-dimensional protein structures by large-scale critical random networks
Background: One-dimensional protein structures such as secondary structures or contact numbers are useful for three-dimensional structure prediction and helpful for intuitive unde...
Akira R. Kinjo, Ken Nishikawa
JSAC
2006
105views more  JSAC 2006»
13 years 8 months ago
Network Topology Inference Based on End-to-End Measurements
Abstract--We consider using traceroute-like end-to-end measurement to infer the underlay topology for a group of hosts. One major issue is the measurement cost. Given hosts in an a...
Xing Jin, Wai-Pun Ken Yiu, S.-H. Gary Chan, Yajun ...