搜索资源列表
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Gaussian Processes, Gaussian mixter model
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Gaussian Processes for classification
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独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE.
Jade performs `Source Separation in the following sense:
X is an n x T data matrix assumed modelled as X = A S + N where
o A is an unknown n x m matrix with full rank.
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Matlab辅助激光光学分析与应用
作者：刘良清
单 位：武汉凌云光电科技有限公司
给出了高斯型激光束的干涉,衍射,和波前畸变等各种物理过程的MATLAB的代码 每个代码都有很细致的解说,测试过了都可以用.-Matlab assisted analysis and application of laser optics: Liu Liangqing Unit: Optoelectronics Technology Co., Ltd., Wuhan Lingyun given Gaus
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高斯过程在分类中的应用。本程序采用拉普拉斯逼近基于高斯过程的贝叶斯分类。-Gaussian process in the Classification. This procedure uses the Laplace approximation of Gaussian processes based on Bayesian classification.
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Matlab implementations of algorithms from Rasmussen & Williams "Gaussian Processes for Machine Learning", the MIT Press 2006.
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Gaussian processes for Bayesian analysis
User guide for Matlab toolbox GPstuff
Version 3.1
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基于高斯过程的贝叶斯分类,详细介绍了高斯过程-Bayesian Classification With Gaussian Processes
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在matlab平台下产生信号序列通过QPSK方式调制通过高斯信道以及瑞利信道，对其中的过程的信号时域以及其频谱，星座图情况进行分析-Matlab platform in the signal sequence generated by the QPSK modulated by the Gaussian channel and Rayleigh channel, which processes the signal for time-domain and its spectrum, conste
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Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement
Usage
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[logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options])
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GPML Matlab Code
The code provided here originally demonstrated the main algorithms from Rasmussen and Williams: Gaussian Processes for Machine Learning. It has since grown to allow more likelihood functions, further inference methods and a flexibl
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machine learning 方面有关于Bayesian Review and Gaussian Processes的资料，语言是python-machine learning aspects of information concerning the Bayesian Review and Gaussian Processes, language is python
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高斯过程二分类的预处理函数，它估计了log(q(y|X,θ-gaussian processes classification prepare function
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基于高斯过程的机器学习模型，很好用的集成算法--Gaussian Processes for Machine Learning
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Hidden Markov modelling of contourlet transforms for art authentication
Bayesian robust hidden Markov model
Hidden Markov Models for Molecular Motors
When wavelet meet HMM
Hidden Markov Tree model of Contourlet Transform
EM for HMM Multivar
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这是一个高斯过程回归和分类工具箱，功能非常齐全，可以为解决高斯过程相关的问题提供很多帮助- GAUSSIAN PROCESS REGRESSION AND CLASSIFICATION Toolbox version 3.6
for GNU Octave 3.2.x and Matlab 7.x
Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch, 2015-07-07.
0) HOW
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这是一个关于GP-ADF和GP-RTSS的工具箱，主要基于“Robust Filtering and Smoothing with Gaussian Processes这篇文章-This software package provides a Matlab implementation of the GP-ADF and the GP-RTSS as described in
Marc Peter Deisenroth, Ryan Turner, Marco F. Huber, Uwe
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该程序是高斯过程的经典程序，可用于过程分类和预测-Gaussian Processes for Machine Learning
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