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DMIN
2006
125views Data Mining» more  DMIN 2006»
15 years 8 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
AUTOMATICA
2010
167views more  AUTOMATICA 2010»
15 years 6 months ago
A new kernel-based approach for linear system identification
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...
Gianluigi Pillonetto, Giuseppe De Nicolao
AUTOMATICA
2008
108views more  AUTOMATICA 2008»
15 years 6 months ago
Closed-loop identification of multivariable systems: With or without excitation of all references?
The accuracy of plant parameters estimated in closed-loop operation is investigated for a class of multivariable systems and for the situation where only some of the reference inp...
Ljubisa Miskovic, Alireza Karimi, Dominique Bonvin...
COMCOM
2008
95views more  COMCOM 2008»
15 years 6 months ago
CHESS: An application-aware space for enhanced scalable services in overlay networks
Abstract-- We introduce in this paper CHESS, an applicationaware space for enhanced scalable services in overlay networks. In this new space, the proximity of peers is determined a...
Mohammad Malli, Chadi Barakat, Walid Dabbous
CSDA
2008
110views more  CSDA 2008»
15 years 6 months ago
Bootstrap confidence intervals for principal response curves
The principal response curve (PRC) model is of use to analyse multivariate data resulting from experiments involving repeated sampling in time. The time-dependent treatment effect...
Marieke E. Timmerman, Cajo J. F. ter Braak