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» On the computation of linear model predictive control laws
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BMCBI
2007
163views more  BMCBI 2007»
14 years 11 months ago
Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
Background: Microarrays are widely used for the study of gene expression; however deciding on whether observed differences in expression are significant remains a challenge. Resul...
Carmen Pin, Mark Reuter
NIPS
2003
15 years 1 months ago
Dynamical Modeling with Kernels for Nonlinear Time Series Prediction
We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
Liva Ralaivola, Florence d'Alché-Buc
CCE
2005
14 years 11 months ago
Model-based computer-aided design for controlled release of pesticides
In the field of controlled release technology for pesticides or active ingredients (AI), models that can predict its delivery during application are important for purposes of desi...
Núria Muro-Suñé, Rafiqul Gani...
SIAMAM
2010
96views more  SIAMAM 2010»
14 years 10 months ago
Mathematical Modeling of Vascular Stents
Abstract. We present a mathematical model for a study of the mechanical properties of endovascular stents in their expanded state. The model is based on the theory of slender curve...
Josip Tambaca, M. Kosor, Suncica Canic, D. Paniagu...
ICML
2010
IEEE
15 years 26 days ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...