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CCE
2006
15 years 1 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang
139
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CODES
2011
IEEE
14 years 1 months ago
Analysis and optimization of fault-tolerant task scheduling on multiprocessor embedded systems
Reliability is a major requirement for most safety-related systems. To meet this requirement, fault-tolerant techniques such as hardware replication and software re-execution are ...
Jia Huang, Jan Olaf Blech, Andreas Raabe, Christia...
WWW
2003
ACM
16 years 2 months ago
The chatty web: emergent semantics through gossiping
This paper describes a novel approach for obtaining semantic interoperability among data sources in a bottom-up, semiautomatic manner without relying on pre-existing, global seman...
Karl Aberer, Manfred Hauswirth, Philippe Cudr&eacu...
BMCBI
2010
175views more  BMCBI 2010»
15 years 2 months ago
Global parameter estimation methods for stochastic biochemical systems
Background: The importance of stochasticity in cellular processes having low number of molecules has resulted in the development of stochastic models such as chemical master equat...
Suresh Kumar Poovathingal, Rudiyanto Gunawan
INFOCOM
2003
IEEE
15 years 7 months ago
Measurement-Based Optimization Techniques for Bandwidth-Demanding Peer-to-Peer Systems
— Measurement-based optimization is one important strategy to improve the performance of bandwidth-demanding peer-to-peer systems. However, to date, we have little quantitative k...
T. S. Eugene Ng, Yang-Hua Chu, Sanjay G. Rao, Kunw...