after transforming the stochastic component to a stationary and gaussian process, ar ( 1) model is built.

gaussian process can regress a nonlinear function, so its performance is superior to the mmse. 3.

由于高斯过程可以对非线性的函数回归，所以基于该方法的多用户检测算法性能要优于最小均方误差。

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diffusion process is a gaussian process, which makes it reasonable to model dti image as gaussian markov random field.

扩散过程是一个高斯马尔可夫过程，论文提出了用高斯马尔可夫随机场对DTI图像进行建模。

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a multi-model soft sensing method based on affinity propagation, gaussian process and bayesian committee machine is presented.

针对连续流程工业软测量对象普遍存在多工况点的特性，提出了一种基于仿射传播聚类、高斯过程和贝叶斯决策的多模型软测量建模方法。

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asymptotic distribution of point process formed by the upcrossings of non-stationary differentiate gaussian process

非平稳可微高斯过程的上穿过点过程的渐近分布

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this paper deals with the discrete representation of volterra system excited by a stationary gaussian process.

本文着重讨论了在平稳正态激励下Volterra响应系统的离散化问题。

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research areas: robotics, neural net, gaussian process, scientific computing, and software/ hardware development.

主要研究领域为冗余机器人，递归神经网络，高斯过程，科学计算和软硬件开发。

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the law of iterated logarithm with finite partial sum for the gaussian process

高斯过程下的有限项部分和重对数律

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approximate implementation of logarithm of matrix determinant in gaussian process regression and numerical experiments

高斯过程回归中的logdet近似算法及数值实验

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the cumulant projection theorem of the complex linear non gaussian process was established.

首先建立了复数线性非高斯过程的高阶累积量投影定理。

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an iterated logarithm law for the maximum in a gaussian process

高斯过程的最大值的重对数律

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reinforcement learning for continuous spaces based on gaussian process classifier

基于高斯过程分类器的连续空间强化学习

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a spatial gaussian process method for hyperspectral remote sensing imagery classification

用于高光谱遥感图像分类的空间约束高斯过程方法

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different kinds of gaussian process classification methods compared with the traditional supervised learning.

同时，还对不同种高斯过程分类方法与三种经典的监督式学习方法进行分类检测对比实验。

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study on gaussian process machine learning method for identifying the distribution structure of reservoir water temperature

水库水温分布结构识别的高斯过程机器学习方法

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the output correlation function of some nonlinear systems with gaussian process input

具有高斯过程输入的一类非线性系统的输出相关函数

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forecast of rock burst intensity based on gaussian process machine learning

基于高斯过程机器学习的冲击地压危险性预测

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gaussian process is the most important random process.

高斯过程是最重要的随机过程。

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application of gaussian process machine learning to slope stability evaluation

高斯过程机器学习在边坡稳定性评价中的应用

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forecasting amount of gas emission using gaussian process machine learning model

瓦斯涌出量预测的高斯过程机器学习模型

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secondly, in view of the temperature of supercritical co2 dyeing equipment i build the neural network modeling and have deep research on the neural network predictive control algorithm.

其次，对超临界染色装置温度对象神经网络建模，并深入研究了神经网络预测控制算法。

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