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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
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 8 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
EOR
2007
272views more  EOR 2007»
13 years 7 months ago
A dynamic logistics coordination model for evacuation and support in disaster response activities
This paper describes an integrated location-distribution model for coordinating logistics support and evacuation operations in disaster response activities. Logistics planning in ...
Wei Yi, Linet Özdamar
ICASSP
2011
IEEE
12 years 11 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
PODS
2006
ACM
138views Database» more  PODS 2006»
14 years 7 months ago
Efficiently ordering subgoals with access constraints
d Abstract] Guizhen Yang Artificial Intelligence Center SRI International Menlo Park, CA 94025, USA Michael Kifer Dept. of Computer Science Stony Brook University Stony Brook, NY 1...
Guizhen Yang, Michael Kifer, Vinay K. Chaudhri