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» Linearization of hybrid processes
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180
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BMCBI
2007
194views more  BMCBI 2007»
15 years 3 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
121
Voted
DCC
2008
IEEE
16 years 3 months ago
Dimension Reduction and Expansion: Distributed Source Coding in a Noisy Environment
We studied the problem of distributed coding and transmission of intercorrelated sources with memory. Different from the conventional distributed source coding structure which rel...
Anna N. Kim, Fredrik Hekland
208
Voted
DAC
2006
ACM
16 years 4 months ago
Extending the lifetime of fuel cell based hybrid systems
Fuel cells are clean power sources that have much higher energy densities and lifetimes compared to batteries. However, fuel cells have limited load following capabilities and can...
Jianli Zhuo, Chaitali Chakrabarti, Naehyuck Chang,...
168
Voted
HYBRID
2000
Springer
15 years 7 months ago
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham
123
Voted
AUTOMATICA
2008
146views more  AUTOMATICA 2008»
15 years 3 months ago
Input-to-state stability and interconnections of discontinuous dynamical systems
In this paper we will extend the input-to-state stability (ISS) framework to continuous-time discontinuous dynamical systems (DDS) adopting piecewise smooth ISS Lyapunov functions...
W. P. M. H. Heemels, Siep Weiland