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ATMOS
2008
112views Optimization» more  ATMOS 2008»
15 years 8 months ago
Dynamic Algorithms for Recoverable Robustness Problems
Abstract. Recently, the recoverable robustness model has been introduced in the optimization area. This model allows to consider disruptions (input data changes) in a unified way, ...
Serafino Cicerone, Gabriele Di Stefano, Michael Sc...
SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
16 years 3 months ago
A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. I...
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...
ICMCS
2005
IEEE
107views Multimedia» more  ICMCS 2005»
16 years 5 days ago
Context-Aware Dynamic Presentation Synthesis for Exploratory Multimodal Environments
In this paper, we develop a novel real-time, interactive, automatic multimodal exploratory environment that dynamically adapts the media presented, to user context. There are two ...
Harini Sridharan, Ankur Mani, Hari Sundaram, Jenni...
NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 10 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
CDC
2010
IEEE
155views Control Systems» more  CDC 2010»
15 years 1 months ago
Linear parametric noise models for Least Squares Support Vector Machines
In the identification of nonlinear dynamical models it may happen that not only the system dynamics have to be modeled but also the noise has a dynamic character. We show how to ad...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor