Results 51 to 60 of about 103,329 (151)
Optimal control theory for a unitary operation under dissipative evolution
New Journal of Physics, 2014 We show that optimizing a quantum gate for an open quantum system requires the time evolution of only three states irrespective of the dimension of Hilbert space. This represents a significant reduction in computational resources compared to the complete
Michael H Goerz +2 more
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Series expansion for functional sufficient dimension reduction
Journal of Multivariate Analysis, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Heng Lian, Gaorong Li
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Adaptive Reduction of Curse of Dimensionality in Nonparametric Instrumental Variable Estimation
MathematicsNonparametric estimation of instrumental variable treatment effects typically builds on various nonparametric identification results. However, these estimators often face challenges from the curse of dimensionality in practice, as multi-dimensional ...
Ming-Yueh Huang, Kwun Chuen Gary Chan
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PLoS ONE, 2014 CRC cancer is one of the deadliest diseases in Western countries. In order to develop prognostic biomarkers for CRC (colorectal cancer) aggressiveness, we analyzed retrospectively 267 CRC patients via a novel, multidimensional biomarker platform.
Marisa Mariani +9 more
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IEEE Access, 2019 This paper proposes an improved protein feature expression called segmented amino acid composition in position-specific scoring matrix (PSSM-SAA) in the field of subcellular localization prediction.
Shunfang Wang +5 more
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RMFGP: A Rotated Multi-Fidelity Gaussian Process Framework for Supervised Dimension Reduction
MathematicsHigh-dimensional surrogate modeling with limited high-fidelity data poses a major challenge in uncertainty quantification. Classical supervised dimension reduction methods often fail in this setting due to insufficient accurate observations, while low ...
Jiahao Zhang, Shiqi Zhang, Guang Lin
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Sufficient Dimension Reduction for Classification
Statistica SinicaWe propose a new sufficient dimension reduction approach designed deliberately for high-dimensional classification. This novel method is named maximal mean variance (MMV), inspired by the mean variance index first proposed by Cui, Li and Zhong (2015), which measures the dependence between a categorical random variable with multiple classes and a ...
Chen, Xin +3 more
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Condition Assessment of PCI Bridge Girder a Result of The Reduction Prestressing Force
EPJ Web of Conferences, 2014 PCI bridge girders is known and widely used for many construction e.g.: bridge, wharf, flyover, and other application. PC Bridge girders have two types: Pre - tensioned girders and post - tensioned girders.
Suangga Made +2 more
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Sufficient dimensions reduction in regressions with categorical predictors
The Annals of Statistics, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chiaromonte, Francesca +2 more
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Multivariate response directional regression: a projective resampling approach
Journal of Big DataIn high dimensional data analysis, directional regression is a widely used method for implementing linear sufficient dimension reduction by extracting core information from the complex data structure.
Ahreum Lee, Kyongwon Kim
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