1)Bayesian regression贝叶斯回归
1.In order to accelerate the computation of kernel density estimation(KDE) and to reduce the complexity of KDE model,a fast KDE algorithm based on sparse Bayesian regression is proposed.为了加快核密度估计(KDE)的计算速度,简化模型复杂度,提出了一种基于稀疏贝叶斯回归的KDE稀疏构造算法SBR-KDE。
英文短句/例句
1.Regularized Kernel Density Estimation Algorithm Based on Sparse Bayesian Regression基于稀疏贝叶斯回归的正则化核密度估计算法
2.Bayesian Predictive Analysis of the Multiple Linear Regression Model;多重线性回归模型的贝叶斯预报分析
3.Bayesian Method for Testing of Variable Structure Linear Regression Model变结构线性回归模型显著性检验的贝叶斯方法
4.Based on the Bayesian Survival Test Censored Regression Model and Its Application;基于删失试验的贝叶斯生存回归模型及其应用
5.Dynamic Linear Regression Modeling and Real-time Prediction Based on Bayesian Network and Neural Network;基于贝叶斯-神经网络的动态回归建模与预测
6.Bayesian Inference for Semiparametric Regression of Ordinal Response Data有序属性响应半参数回归模型的贝叶斯分析
7.Application of Bayesian Method to Modelling of Variable Structure Linear Regression Model贝叶斯方法在变结构线性回归模型建模中的应用
8.Research on Bayesian Analysis of Autoregressive Conditional Heteroscedaticity Models and Their Application;自回归条件异方差模型的贝叶斯分析及其应用研究
9.Bayesian Semiparametric Cox Regression Analysis of Interval-censored Data区间删失数据下比例风险回归模型的贝叶斯半参数分析
10.Measure Market Risk Based on Bayesian Quantile Regression Model with an Application基于贝叶斯分位数回归的市场风险测度模型与应用
11.Bayesian Regularization Neural Network Ensemble Model Based on Partial Least Squares Regression and Its Application in Stock Market;偏最小二乘回归的贝叶斯正则化神经网络集成模型在证券分析预测中的应用
12.A METHOD TO ESTIMATE THE ERROR VARRIANCE MATRIX W_t OF BDLM BY GENERALIZED EXPONENTIALLYWEIGHTED REGRESSION;利用广义指数加权回归估计贝叶斯动态线性模型误差方差矩阵W_t的方法(英文)
13.Bayesian Methods in Advanced Random Response Model;改进的随机化回答模型的贝叶斯方法
14.Bayesian Networks Construction and Their Applications in Data Mining贝叶斯学习、贝叶斯网络与数据采掘
15.The Probability Meaning of Motivation: the Probability Lumping Theorem and Non-Bayes Solution of the Monty Hall Problem;动机的概率意义——概率归并定理与Monty Hall问题的非贝叶斯解
16.Further Researches and Application of Composition Process in Qualitative Bayesian定性贝叶斯网络中归并计算的进一步探讨及应用
17.Who Established Bayesian Schools?Bayes or Laplace?;谁开创了贝叶斯学派?——对拉普拉斯1774年一篇文章的回顾
18.1. Bayesian statistics theory: Expatiate the mathematic principle of Bayesian Networks, Bayesian statistics.1．贝叶斯统计理论：阐述贝叶斯网络的数学原理——贝叶斯统计。
相关短句/例句
multivariate regression empirical Bayes approach多元回归经验贝叶斯法
3)recursive Bayesian estimation递归贝叶斯估计
1.Various nonlinear filtering algorithms are reviewed and interpreted in a unified way using the recursive Bayesian estimation.从递归贝叶斯估计的框架出发,对非线性滤波算法作了统一描述,并根据对后验概率密度的近似方法的不同,把非线性滤波划归为3类:基于函数近似的滤波方法、基于确定性采样的滤波方法和基于随机采样的滤波方法。
4)Bays normalization algorithm贝叶斯归一化算法
5)Cyclic-Bayesian searching method轮回搜索贝叶斯法
6)Bayes贝叶斯
1.Range profile-based radar target recognition using discretized Bayes classifying algorithm;离散贝叶斯分类算法雷达目标一维距离像识别
2.Study on spam email treatment model based on Bayesian method;基于贝叶斯方法的垃圾邮件处理模型研究
3.The Application of Support Vector Machines Within Bayesian Evidence Framework to Drift Prediction of Gyro;贝叶斯证据框架下的支持向量机及其在陀螺漂移预测中的应用
延伸阅读
多元线性回归分子式：CAS号：性质：又称为多元线性拟合。研究一个因变量与多个自变量的线性关系。可用最小二乘法来估计回归参数，建立多元一次方程。
