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» Nonlinear Predictive Control with a Gaussian Process Model
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BMCBI
2007
172views more  BMCBI 2007»
14 years 11 months ago
Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, R...
DSS
2008
84views more  DSS 2008»
14 years 11 months ago
Human decision-making behavior and modeling effects
Previous research indicates that the human decision-making process is somewhat nonlinear and that nonlinear models would be more suitable than linear models for developing advance...
Choong Nyoung Kim, Kyung Hoon Yang, Jaekyung Kim
105
Voted
SIAMCO
2010
201views more  SIAMCO 2010»
14 years 6 months ago
Analysis of Unconstrained Nonlinear MPC Schemes with Time Varying Control Horizon
For discrete time nonlinear systems satisfying an exponential or finite time controllability assumption, we present an analytical formula for a suboptimality estimate for model pre...
Lars Grüne, Jürgen Pannek, Martin Seehaf...
ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
15 years 6 months ago
Stacked Gaussian Process Learning
—Triggered by a market relevant application that involves making joint predictions of pedestrian and public transit flows in urban areas, we address the question of how to utili...
Marion Neumann, Kristian Kersting, Zhao Xu, Daniel...
84
Voted
ECML
2007
Springer
15 years 5 months ago
Source Separation with Gaussian Process Models
In this paper we address a method of source separation in the case where sources have certain temporal structures. The key contribution in this paper is to incorporate Gaussian pro...
Sunho Park, Seungjin Choi