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» Symbolic Test Selection Based on Approximate Analysis
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EDUTAINMENT
2007
Springer
16 years 22 days ago
Method of Motion Data Processing Based on Manifold Learning
Due to the high-dimensionality of motion captured data which resulted in the complexity in motion analysis, a method of motion data processing based on manifold learning was propos...
Fengxia Li, Tianyu Huang, Lijie Li
IJCAI
1997
15 years 8 months ago
An Effective Learning Method for Max-Min Neural Networks
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
Loo-Nin Teow, Kia-Fock Loe
CDC
2009
IEEE
149views Control Systems» more  CDC 2009»
15 years 11 months ago
Robust stabilization of model-based uncertain singularly perturbed systems with networked time-delay
—In this paper, a robust stabilization of the uncertain singularly perturbed system via a networked state feedback with the transmission time-delay is addressed. Taking its nomin...
Zhiming Wang, Wei Liu, Haohui Dai, D. Subbaram Nai...
199
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COMPUTING
2008
174views more  COMPUTING 2008»
15 years 6 months ago
Multilevel algorithms for Rannacher-Turek finite element approximation of 3D elliptic problems
Generalizing the approach of a previous work [15] the authors present multilevel preconditioners for three-dimensional (3D) elliptic problems discretized by a family of Rannacher ...
Ivan Georgiev, Johannes Kraus, Svetozar Margenov
BMCBI
2011
14 years 10 months ago
Robust joint analysis allowing for model uncertainty in two-stage genetic association studies
Background: The cost efficient two-stage design is often used in genome-wide association studies (GWASs) in searching for genetic loci underlying the susceptibility for complex di...
Dongdong Pan, Qizhai Li, Ningning Jiang, Aiyi Liu,...