High-Dimensional相关论文
Stability and Hopf Bifurcation Analysis of an(n + m)-Neuron Double-Ring Neural Network Model with Mu
Up till the present moment,researchers have always featured the single-ring neural net-work.These investigations,however......
Empirical Likelihood of Quantile Difference with Missing Response When High-dimensional Covariates A
We,in this paper,investigate two-sample quantile difference by empirical likelihood method when the responses with high-......
Neuroscience,social network analysis and many other disciplines involve the generation of multivariate count data observ......
This paper proposes a new sure independence screening procedure for high-dimensional survival data based on censored qua......
For several decades,much attention has been paid to the two-sample Behrens-Fisher(BF) problem which tests the equality o......
This paper proposes a novel method for testing the equality of high-dimensional means using a multiple hypothesis test. ......
Efficient Distributed Estimation of High-dimensional Sparse Precision Matrix for Transelliptical Gra
In this paper, distributed estimation of high-dimensional sparse precision matrix is pro-posed based on the debiased D-t......
Feature Screening for Ultrahigh-dimensional Censored Data with Varying Coefficient Single-index Mode
In this paper,we study the sure independence screening of ultrahigh-dimensional censored data with varying coefficient s......
Guaranteed cost consensus analysis and design problems for high-dimensional multi-agent systems with timevarying delays ......
针对高维数据的Skyline查询处理已经逐渐成为研究的热点,当前主要采用降维方法和k-分桶 skyline 查询算法，但这些算法实现是基于数......
针对大型数据库中高维稀疏关系表空字段对存储空间的占用问题，通过利用传统行存储数据库模拟列式存储数据库的工作原理，设计了一种基......
High-dimensional and sparse(HiDS)matrices commonly arise in various industrial applications,e.g.,recommender systems(RSs......
离群点检测是当前数据挖掘研究领域的热点问题之一。基于高维数据模型的局部离群点检测算法,将数据对象的属性根据自身的性质分为......
WEIGHTED LASSO ESTIMATES FOR SPARSE LOGISTIC REGRESSION:NON-ASYMPTOTIC PROPERTIES WITH MEASUREMENT E
For high-dimensional models with a focus on classification performance,the?1-penalized logistic regression is becoming i......
When chaotic systems are implemented on finite precision machines, it will lead to the problem of dynamical degradation.......
为了更好地提高求解高维复杂优化问题的能力,提出一种动态自适应和声搜索（DSHS）算法。该算法采用正交试验来设计算法的初始化和声记......
CSFW-SC: Cuckoo Search Fuzzy-Weighting Algorithm for Subspace Clustering Applying to High-Dimensiona
Aimed at the issue that traditional clustering methods are not appropriate to high-dimensional data, a cuckoo search fuz......
文章分析了量子隐形传态当前的热点内容，并以四维纠缠态作为量子信道传送未知粒子提出两种方案，在分析两种方案中可以看出如果Alice......
在进行函数优化时,遗传算法具有全局搜索能力强的特点,但其存在早熟收敛和后期收敛速度慢及局部搜索能力弱的问题。网格蚂蚁算法具......
子空间聚类是一种将搜索局部化在相关维上进行的聚类算法，它能有效地克服数据因维度过高引起的在全空间上聚类的困难。针对高维分类......
大数据为季度GDP走势预测创新研究带来重要突破口。本文利用百度等网站的互联网大数据,基于代表性高维数据机器学习(和深度学习)模......
全k近邻(all k-nearest neighbor,AkNN)查询,是k近邻查询的一个变型,旨在在一个查询过程中为给定数据集的每个对象确定k个最近邻。......
将高维数据投影在子空间中,是解决＂维灾＂的有效途径之一。从提高挖掘效率的角度,给出一种新的基于子空间的两阶段离群检测算法,利用......
One Application of the Quantized Electromagnetic Field outside the High-Dimensional Static Gauss-Bon
In present paper, we calculated the response rate of a static charge outside d-dimensional Gauss-Bonnet black hole in th......
红细胞的生长是一种高阶非线性离散问题，一般方法很难确定高阶含多参数问题的Hopf分岔点。本文应用任意阶Hopf分岔代数判据对六阶红......
Randomized Latent Factor Model for High-dimensional and Sparse Matrices from Industrial Applications
Latent factor(LF) models are highly effective in extracting useful knowledge from High-Dimensional and Sparse(HiDS) matr......
高维数据的单点2D图表示是2D图表示的重要分支。由于其可在单幅多元图中显示多个观察,因此适用于模式识别领域中的特征选择与分类......
With the advantages of MapReduce programming model in parallel computing and processing of data and tasks on large-scale......
In present paper, by using the quantization of an electromagnetic field in the background of static spherically symmetri......
Because all the known integrable models possess Schwarzian forms with Mobious transformation invariance,it may be one of......
This paper studies the re-adjusted cross-validation method and a semiparametric regression model called the varying inde......
Image matching technology is theoretically significant and practically promising in the field of autonomous navigation.A......
Background Data from RNA-seq experiments provide a wealth of information about the transcriptome of anorganism. However,......
In this paper,We study the global attractor and its properties on in nite lattice dynamical system FitzHugh-Nagumo in a ......
We introduce and develop a novel approach to outlier detection based on adaptation of random subspace learning. Our prop......
Viticulturists traditionally have a keen interest in studying the relationship between the biochemistry of grapevines’ ......
Model averaging has attracted increasing attention in recent years for the analysis of high-dimensional data. By weighti......
Traditional classification algorithms perform not very well on imbalanced data sets and small sample size. To deal with ......
Cross Entropy Based Sparse Logistic Regression to Identify Phenotype-Related Mutations in Methicilli
Emergence of drug resistant bacteria is one of the serious problems in today’s public health. However, the relationship......
针对模糊图像高维空间几何信息(high-dimensional space geometrical informatics,HDSGI)复原方法不能自动调节参数的问题,提出一......
We investigate the structure of a large precision matrix in Gaussian graphical models by decomposing it into a low rank ......
