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» On Structural Analysis of Large Networks
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175
Voted
TSP
2008
151views more  TSP 2008»
15 years 6 months ago
Convergence Analysis of Reweighted Sum-Product Algorithms
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
Tanya Roosta, Martin J. Wainwright, Shankar S. Sas...
163
Voted
DAC
2010
ACM
15 years 4 months ago
A robust periodic arnoldi shooting algorithm for efficient analysis of large-scale RF/MM ICs
The verification of large radio-frequency/millimeter-wave (RF/MM) integrated circuits (ICs) has regained attention for high-performance designs beyond 90nm and 60GHz. The traditio...
Xuexin Liu, Hao Yu, Sheldon X.-D. Tan
ICANN
2001
Springer
15 years 10 months ago
A Computational Intelligence Approach to Optimization with Unknown Objective Functions
In many practical engineering design problems, the form of objective function is not given explicitly in terms of design variables. Given the value of design variables, under this ...
Hirotaka Nakayama, Masao Arakawa, Rie Sasaki
NIPS
2008
15 years 7 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
DAC
2006
ACM
16 years 7 months ago
Charge recycling in MTCMOS circuits: concept and analysis
Designing an energy efficient power gating structure is an important and challenging task in Multi-Threshold CMOS (MTCMOS) circuit design. In order to achieve a very low power des...
Ehsan Pakbaznia, Farzan Fallah, Massoud Pedram