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BMCBI
2010
126views more  BMCBI 2010»
13 years 5 months ago
Systematic integration of experimental data and models in systems biology
Background: The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction ...
Peter Li, Joseph O. Dada, Daniel Jameson, Irena Sp...
IPSN
2004
Springer
14 years 27 days ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
CSL
2008
Springer
13 years 7 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos
SAINT
2002
IEEE
14 years 14 days ago
The Internet Enterprise
In this paper we present our vision of the Internet Enterprise: a highly interoperable, virtual enterprise infrastructure for individuals, small businesses, and large corporations...
Abdelsalam Helal, Stanley Y. W. Su, Jie Meng, Raja...
ICCAD
2005
IEEE
106views Hardware» more  ICCAD 2005»
14 years 1 months ago
Fast balanced stochastic truncation via a quadratic extension of the alternating direction implicit iteration
— Balanced truncation (BT) model order reduction (MOR) is known for its superior accuracy and computable error bounds. Balanced stochastic truncation (BST) is a particular BT pro...
Ngai Wong, Venkataramanan Balakrishnan