搜索资源列表
BayesClassifier
- 一个用c#写的贝叶斯分类程序源代码，带图形界面！-c # using a Bayesian classification write source code, with a graphical interface!
Classifier4J-0.6-dist
- 可用于文本分类的贝叶斯分类器，java开源项目-can be used for text classification Bayesian classifier, java open source projects
bf-C++source-2003.8-6
- Bayesian Filtering Classe C++source
Example4
- 采用贝叶斯正则化算法（抑制过拟合）提高 BP 网络的推广能力，采用两种训练方法， 即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络；-Bayesian regularization algorithm (inhibition of over-fitting) to improve the generalization ability of BP network, using two training methods, that LM opti
caodichaoshi
- 贝叶斯网络的经典应用，是入门学习贝叶斯的一个经典的例子，很好用，很好理解-Bayesian network of the classic application, very good understanding, is the study of the bayesian introductory material
beiyes
- 贝叶斯网络概率中文分词算法，基于概率的分词算法-Bayesian network probability of Chinese word segmentation algorithm, based on the probability of word segmentation algorithm
webcat
- 这是一个100 ％纯Java库，您可以使用适用于N元 分析技术的过程分为文本文件。 该计划包括几个不同的分类算法， namelly 支持向量机，贝叶斯Logistic回归，神经网络分类和文本压缩 算法。如支持向量机和贝叶斯Logistic回归，一个 “一对一” 用于多类分类。更详细的说明这些学习算法和可用的选项，请提供的javadocs 。-It is a 100 pure Java library that you can use to apply N-Gr
bayesimp
- it is program in perl language which implements the Navie bayesian classification
BayesianNetwork_workshop07matlabcodes
- BAYESIAN STATISTICS by Sarat C. Dass Department of Statistics & Probability Department of Computer Science & Engineering Michigan State University-BAYESIAN STATISTICS by Sarat C. Dass Department of Statistics & Probability Department of Com
a1
- 基于动态贝叶斯网络的连续语音识别框架及其Token传递模型-Dynamic Bayesian Network Based Continuous Speech Recognition Framework and its Token transfer model
BCS-for-phonetic-classification
- 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
Bayeslilun
- 贝叶斯决策理论方法是统计模式识别的一个基本方法，类概率密度已知和类别数已知-Bayesian decision theory method of statistical pattern recognition is a basic method, the class probability density known and category known number
bayes
- 贝叶斯分类器计算的后验概率值，找到最大的后验概率-Bayesian classifier posteriori probability value, find the maximum a posteriori probability
TestProc
- 实现用基本贝叶斯分类器进行训练，分类和识别，包含对矩阵的许多处理方法-The basic Bayesian classifier training, classification and identification, contain many processing methods for matrix
LFM
- 针对贝叶斯滤波过程中存在的目标跟踪问题，提出几种典型的贝叶斯滤波方法，如EKF, UKF, PF和UPF 等，基于这些方法所构 建的框架，对它们进行性能测试和比较，并在非线性环境下，讨论这些方法的特点，仿真实验结果表明，在非线性非高斯环境下，UPF 方 法的性能是最优的。 -According to the bayesian filtering occurred in the process of target tracking problem, this paper puts forw
Bayesian-regularization
- 贝叶斯正则化算法提高 BP 网络，L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络-Bayesian regularization algorithm to improve BP network
matlab
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。-Bayesian regularization algorithm to improve the generalization ability of BP network.
Automatica
- 应用于移动传感器网络的高效贝叶斯空间预测方案-Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields
nGpFBMP-ver-1.0
- 非高斯分布信号的快速重构算法,该代码为论文“A Fast Non-Gaussian Bayesian Matching Pursuit Method for Sparse Reconstruction”论文的源代码-Fast reconstruction algorithm of non-Gaussian signal The code for the paper "A Fast Non-Gaussian Bayesian Matching Pursuit Method for Sparse
approach
- A novel approach to unsupervised stochastic model-based image segmentation is presented and the problems of parameter estimation and image segmentation are formulated as Bayesian learning. In order to draw samples corresponding to di€ erent c