dimensionreduction相关论文
In this paper,a hybrid deep learning network-based model is proposed and implemented for maneuver decision-making in an ......
The era of big data brings opportunities and challenges to developing new statistical methods and models to evaluate soc......
Systems-level neurophysiological data reveal coherent activity that is distributed across large regions of cortex.This a......
In aerodynamic optimization,the number of design variables needs to be increased to improve the effect and accuracy of o......
Development of Quantitative and Qualitative Prediction Models for Chemical-Induced Respiratory Toxic
As a dangerous endpoint,respiratory toxicity can cause serious adverse health effects and even death.Meanwhile,it is a c......
The simplex growing algorithm (SGA) suffers from two issues in its practical implementation.One is that it needs to redu......
Dimension-reduction model-adaptive test for parametric single-index models:A dimension-reduction mod
Local smoothing testing based on multivariate nonparametric regression estimation is one of the main model checking meth......
The talk will cover two extensions of the sufficient dimensional reduction method.In one project,we develop a semiparame......
There have been a lot of interests in using neuroimaging approaches to help guide clinicians in selecting treatment for ......
In this paper,we propose a method for simultaneously analysing the factor structure of the data and detecting(possibly)m......
Nonignorable nonresponse presents a great challenge in statistical analysis since the nonresponse mechanism/propensity d......
针对极化合成孔径雷达(SAR)应用中存在的特征冗余问题,结合线性判别分析(LDA)和局部线性嵌入(LLE)的思想,提出一种半监督降维算法:......
Shift Endpoint Trace Selection Algorithm and Wavelet Analysis to Detect the Endpoint Using Optical E
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A modified nonlinear (proper orthogonal decomposition) POD method based on transient time series is proposed in this......
Fast dimension reduction of multi-omics data using low-rank approximation for cancer molecular class
One major goal of cancer omics study is to discover the novel molecular subtypes for more accurate cancer diagnoses ......
In the area of sufficient dimension reduction, many methods, including the well-known sliced inverse regression, require......
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In the underwater waveguide, the conventional adaptive subspace detector (ASD), derived by using the generalized likelih......
