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» Adaptive importance sampling in general mixture classes
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AUTOMATICA
2007
142views more  AUTOMATICA 2007»
13 years 8 months ago
Lyapunov-based switching control of nonlinear systems using high-gain observers
Abstract— We consider dynamic output feedback practical stabilization of uniformly observable nonlinear systems, based on high-gain observers with saturation. We assume that unce...
Leonid B. Freidovich, Hassan K. Khalil
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
14 years 10 days ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
BMCBI
2007
207views more  BMCBI 2007»
13 years 8 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
PAMI
2007
336views more  PAMI 2007»
13 years 8 months ago
Topological Equivalence between a 3D Object and the Reconstruction of Its Digital Image
— Digitization is not as easy as it looks. If one digitizes a 3D object even with a dense sampling grid, the reconstructed digital object may have topological distortions and in ...
Peer Stelldinger, Longin Jan Latecki, Marcelo Siqu...
ICA3PP
2005
Springer
14 years 1 months ago
GridMD: Program Architecture for Distributed Molecular Simulation
In the present work we describe architectural concepts of the distributed molecular simulation package GridMD. The main purpose of this work is to underline the construction patter...
Ilya Valuev