To address this problem, we propose a graph-based multiple rank regression model (GMRR), which employs multiple-rank left and right projecting vectors to regress each matrix data to its label for each category. To exploit the discriminating structure of the data space, a class compactness graph...
2.8Multiple variable analyses (多变量表分析) 多变量表的每一列代表一个变量,每一行代表一个个体或一次试验。它的数据结构与行列分组表类似,但多变量表不能设置子列。常用的统计分析方法有8种(图12): Correlation matrix: 相关性矩阵 Multiple linear regression:多重线性回归 Multiple logistic regression:多因素Logi...
In conclusion, GRMDA is an effective and practical method for miRNA-disease association prediction. 展开 关键词: microRNA disease association prediction graph regression matrix factorization DOI: 10.3389/fphys.2018.00092 被引量: 4 年份: 2018
proposed a collaborative sparse regression method for hyperspectral unmixing (CLSUnSAL) [22]. To further improve the performance of the CLSUnSAL, a HU method based on weighted sparse regression with weighted 𝑙𝑑,1ld,1 (𝑑=1d=1 or 2) mixed norm was proposed by Zheng et al. [23]. ...
GIPA: General Information Propagation Algorithm for Graph Learning,Qinkai Zheng, Houyi Li, Peng Zhang, Zhixiong Yang, Guowei Zhang, Xintan Zeng, Yongchao Liu Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification, NAACL'21,Xiaochen Hou, Peng Qi, Guangtao Wa...
Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso In this paper, we propose graph-guided fused lasso (GFlasso) for structured multi-task regression that exploits the graph structure over the output ... C Xi,S Kim,Q Lin,... 被引量: 112发表:...
sometimes with a regression line added. There are several reasons why regression is not appropriate for this task. An alternative method described uses the deviations (prediction minus observation) plotted against the observations. From this graph of deviations the bias and precision of the model can...
(A) Bayesian network representing the joint distribution of y and its parents; (B) factor graph for a logistic regression for the conditional distribution of y given its parents. Let us assume that all variables are binary. Given a separate function fi(y,xi) for each binary variable xi, ...
Measurement, regression, and calibration Appendix B gives some results for Bayesian prior to posterior analysis in the context of multivariate and matrix-variate normals. Appendix C derives ... PJ Brown - 《Journal of the American Statistical Association》 被引量: 350发表: 2002年 Factorial Kriging...
The approach is illustrated on clonidine-like compounds where carbon and chlorine atoms are discriminated by using x = −0.20 as the diagonal entry for chlorine atoms. Derived weighted path numbers are used as descriptors and a multiple regression based on three descriptors resulted in the ...