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» A New Iterative Method for Solving Initial Value Problems
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CORR
2008
Springer
119views Education» more  CORR 2008»
13 years 8 months ago
Self-stabilizing Numerical Iterative Computation
Many challenging tasks in sensor networks, including sensor calibration, ranking of nodes, monitoring, event region detection, collaborative filtering, collaborative signal proces...
Ezra N. Hoch, Danny Bickson, Danny Dolev
BMCBI
2008
242views more  BMCBI 2008»
13 years 8 months ago
New time-scale criteria for model simplification of bio-reaction systems
Background: Quasi-steady state approximation (QSSA) based on time-scale analysis is known to be an effective method for simplifying metabolic reaction system, but the conventional...
Junwon Choi, Kyung-won Yang, Tai-yong Lee, Sang Yu...
ICCV
2003
IEEE
14 years 10 months ago
Multiclass Spectral Clustering
We propose a principled account on multiclass spectral clustering. Given a discrete clustering formulation, we first solve a relaxed continuous optimization problem by eigendecomp...
Stella X. Yu, Jianbo Shi
TOMACS
2010
79views more  TOMACS 2010»
13 years 3 months ago
A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Sumit Kunnumkal, Huseyin Topaloglu
RTSS
2006
IEEE
14 years 2 months ago
Generalized Elastic Scheduling
The elastic task model proposed by Buttazzo, et. al. [9] is a powerful model for adapting real-time systems in the presence of uncertainty. This paper generalizes the existing ela...
Thidapat Chantem, Xiaobo Sharon Hu, Michael D. Lem...