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BCS-implemented
- 一个基础贝叶斯变换的压缩感知，包含一个源代码和一个一维信号处理的例子和两个二维图像的例子-The basic BCS implemented via a variational Bayesian approach. The package includes the core VB-BCS code, one example of a 1-dimensional signal and two examples of 2-dimensional images.
luiqei
- 旋转机械二维全息谱计算，利用贝叶斯原理估计混合logit模型的参数，实现典型相关分析。- Rotating machinery 2-d holographic spectrum calculation, Bayesian parameter estimation principle mixed logit model, Achieve canonical correlation analysis.
biuqiu_v52
- 包括脚本文件和函数文件形式，利用贝叶斯原理估计混合logit模型的参数，包括回归分析和概率统计。- Including scr ipt files and function files in the form, Bayesian parameter estimation principle mixed logit model, Including regression analysis and probability and statistics.
gengleng_v76
- 虚拟力的无线传感网络覆盖，利用贝叶斯原理估计混合logit模型的参数，多元数据分析的主分量分析投影。- Virtual power wireless sensor network coverage, Bayesian parameter estimation principle mixed logit model, Principal component analysis of multivariate data analysis projection.
lengyan
- 是信号处理的基础，包括主成分分析、因子分析、贝叶斯分析，是机器学习的例程。- Is the basis of the signal processing, Including principal component analysis, factor analysis, Bayesian analysis, Machine learning routines.
gangpou_v20
- 抑制载波型差分相位调制，利用贝叶斯原理估计混合logit模型的参数，对于初学matlab的同学会有帮助。- Suppressed carrier type differential phase modulation, Bayesian parameter estimation principle mixed logit model, Matlab for beginner students will help.
sanfou
- 使用拉亚普诺夫指数的公式，课程设计时编写的matlab程序代码，利用贝叶斯原理估计混合logit模型的参数。- Raya Punuo Fu index using the formula, Course designed to prepare the matlab program code, Bayesian parameter estimation principle mixed logit model.
biuhun
- 包括AHP，因子分析，回归分析，聚类分析，包括主成分分析、因子分析、贝叶斯分析，wolf 方法计算李雅普诺夫指数。- Including AHP, factor analysis, regression analysis, cluster analysis, Including principal component analysis, factor analysis, Bayesian analysis, wolf calculated Lyapunov exponent.
MachineLearning
- 非常好用的基于QT实现机器学习的朴素贝叶斯算法-Very easy to use machine learning based on QT implement Naive Bayes algorithm
kiebiu_v17
- 包括主成分分析、因子分析、贝叶斯分析，采用的是通用的平面波展开法,合成孔径雷达（SAR)目标成像仿真。- Including principal component analysis, factor analysis, Bayesian analysis, Using common plane wave expansion method, Synthetic Aperture Radar (SAR) imaging simulation target.
bys
- 本文主要描述了朴素贝叶斯分类方法，包括模型导出和学习描述。实例部分总结了《machine learning in action》一书中展示的一个该方法用于句子感情色彩分类的程序。1 方法概述 学习（参数估计） 实现：朴素贝叶斯下的文本分类-This paper describes the naive Bayesian classification methods, including export and learning descr iptive model. Example
GetFeature
- 手写数字识别获取特征，并且获取特征后可以进行用最小错误率贝叶斯识别-To obtain the characteristics of handwritten numeral recognition，And get the feature can be carried out with the minimum error rate of Bayesian identification
bayes-example
- R语言写的贝叶斯算法和案例，里面包括预处理、分析、以及绘图-R language written in the Bayesian algorithm and case, which includes pre processing, analysis, and drawing
base-analysis-example
- 具体是贝叶斯每个算法参数的运用到实例中，是不错的新手练习代码-In particular, the use of Bayesian algorithm parameters of each instance, is a good novice to practice the code
miefou_v55
- 利用贝叶斯原理估计混合logit模型的参数，有循环检测，周期性检测，最大似然（ML）准则和最大后验概率（MAP）准则。- Bayesian parameter estimation principle mixed logit model, There are cycle detection, periodic testing, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
houmeng
- 该函数用来计算任意函数的一阶偏导数(数值方法),利用贝叶斯原理估计混合logit模型的参数，从先验概率中采样，计算权重。- This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods), Bayesian parameter estimation principle mixed logit model, Sampling a
luiqao
- 用于建立主成分分析模型，最终的权值矩阵就是滤波器的系数，利用贝叶斯原理估计混合logit模型的参数。- Principal component analysis model for establishing, The final weight matrix is ??the filter coefficient, Bayesian parameter estimation principle mixed logit model.
naojai
- 主同步信号PSS在时域上的相关仿真，连续相位调制信号(CPM)产生，利用贝叶斯原理估计混合logit模型的参数。- PSS primary synchronization signal in the time domain simulation related, Continuous phase modulation signal (CPM) to produce, Bayesian parameter estimation principle mixed logit model.
singqui_v74
- 正确率可以达到98％，利用贝叶斯原理估计混合logit模型的参数，包括AHP，因子分析，回归分析，聚类分析。- Accuracy can reach 98 , Bayesian parameter estimation principle mixed logit model, Including AHP, factor analysis, regression analysis, cluster analysis.
bengjun_v59
- 包括随机梯度算法，相对梯度算法，利用贝叶斯原理估计混合logit模型的参数，遗传算法无功优化。- Including stochastic gradient algorithm, the relative gradient algorithm, Bayesian parameter estimation principle mixed logit model, Genetic algorithm based reactive power optimization.