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Description: 本书介绍了模式识别和人工智能中的一些基本理论以及一些相关的模型,包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等-This book describes the pattern recognition and artificial intelligence in some of the basic theory and some related models, including Bayesian decision-making, linear discriminant function, neural network theory, hidden Markov model, clustering technology
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Size: 48498688 |
Author: 广隶 |
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Description: 汽车高斯曲面拟合
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2程序，以适应到表面二维高斯：
子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的
这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。
autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。
autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种-Auto Gaussian Surface fit
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2 routines to fit a 2D Gaussian to a surface:
zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b
The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters.
autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit.
autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals)
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Size: 7168 |
Author: zzskzcau |
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Description: 此文件包含了各种去噪方法的源程序，包括有贝叶斯去噪方法，上下文去噪，还有其他一些去噪方法。-This file contains the source code of various denoising methods, including Bayesian denoising, denoising context, there are other denoising methods.
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Size: 33792 |
Author: 陈静 |
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Description: 贝叶斯分类器相关源码文件
可以做一个较简单的贝叶斯分类器-Bayesian classifier
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Size: 19456 |
Author: soungslow |
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Description: 数据挖掘——朴素贝叶斯分类算法
朴素贝叶斯分类假定属性之间相互独立，实际应用往往不满足这个条件。-data mining_bayesian algorithm
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Size: 228352 |
Author: 郑钟林 |
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Description: 贝叶斯分类器 多个文件 可直接运行 模式识别类-Bayesian classifier
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Size: 3072 |
Author: zyc |
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Description: 这是一个 完整的贝叶斯网matlab工具箱，是用来做数据挖掘，数据分析等的强力工具，欢迎下载-This is a matlab a complete Bayesian network toolbox is used for data mining, data analysis, a powerful tool, are welcome to download。
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Size: 11971584 |
Author: 杨占 |
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Description: 朴素贝叶斯模型的源代码，可以用于文本分类-Naive Bayes model source code, can be used for text classification
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Size: 5120 |
Author: linzheng |
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Description: compressive sensing:Bayesian Compressive Sensing
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Size: 1095680 |
Author: zhanghf |
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Description: 本算法用于贝叶斯网络的结构学习，通过筛选节点生成网络-Structure learning for Bayesian
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Size: 1024 |
Author: 小康 |
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Description: 贝叶斯分类器设计。 对两组数据（学生的英语成绩）的分类-Bayesian classifier design. On two sets of data (student performance in English) classification
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Size: 1024 |
Author: glw |
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Description: 这是另一个matlab的贝叶斯分类器设计，可用作作业用-This is another matlab Bayesian classifier design can be used as operating with
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Size: 1024 |
Author: glw |
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Description: 此代码用于图像的基于统计原理的贝叶斯滤波。-This code is used for image filtering based on Bayesian statistical theory.
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Size: 71680 |
Author: chufuguo |
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Description: 贝叶斯压缩感知算法的经典文献，相关研究必看-Bayesian algorithm for compressed sensing of the classic literature, relevant research must see
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Size: 861184 |
Author: Kim |
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Description: 贝叶斯压缩感知在语音识别上的一种应用方法-Bayesian compressed sensing in a speech recognition application method on
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Size: 105472 |
Author: Kim |
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Description: 无线传感网络中，压缩感知数据恢复的一种贝叶斯分析，也许能用于分布式压缩感知-Wireless sensor networks, compressed sensing data recovery of a Bayesian analysis, may be used for distributed compressed sensing
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Size: 243712 |
Author: Kim |
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Description: 基于贝叶斯压缩感知的一种极宽带信道的估计-A compressed sensing based on Bayesian very broadband channel estimation
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Size: 114688 |
Author: Kim |
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Description: 朴素贝叶斯分类是一种简单而高效的分类模型，然而条件独立性假设在现实中很少出，致使其性能有所下降。通过引入关联规则，从两方面来改善朴素贝叶斯分类的性能。一方面，通过对关联规则的挖掘，发现条件属性之间的关联关系，并且利用这种关联关系弱化朴素贝叶斯的独立性假设；另一方面，通过关联规则的置信度，给朴素贝叶斯加权。 -Naive Bayesian classifier is a simple and efficient classification model, the conditional independence assumption, however, rarely in the real world, resulting in decreased performance. Through the introduction of association rules, two ways to improve the performance of naive Bayesian classifier. On the one hand, by association rule mining, found the association between condition attributes and use this association weakened Bayesian independence assumption the other hand, by association rule confidence, to the simple Bayesian Alaska right.
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Size: 1310720 |
Author: 张广明 |
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Description: 模式识别关于图像的分类，贝叶斯判据，fisher判据。很好用-Pattern recognition of image classification, Bayesian criterion, fisher criterion. Well with
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Size: 3072 |
Author: 程曦 |
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Description: 模式识别的贝叶斯算法和Fisher算法 加以比较 有图有真相-Bayesian algorithm and pattern recognition algorithms to compare Fisher map with the truth
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Size: 15360 |
Author: 李苍 |
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