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- 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
logistic-regression
- 用matlab实现机器学习算法中的逻辑回归-Using matlab to achieve a machine learning algorithm in a logistic regression
RandomForestCversion
- 使用C语言实现的机器学习算法随机森林算法源码-Using C language implementation of machine learning algorithm of random forest algorithm source code
kanmen
- 是机器学习的例程，使用大量的有限元法求解偏微分方程，重要参数的提取。- Machine learning routines, Using a large number of finite element method to solve partial differential equations, Extract important parameters.
geifie
- AHP层次分析法计算判断矩阵的最大特征值,计算互信息非常有用的一组程序,是机器学习的例程。- Calculate the maximum eigenvalue judgment matrix of AHP, Mutual information is useful to calculate a set of procedures, Machine learning routines.
fangsai_v28
- 是机器学习的例程，在matlab环境中自动识别连通区域的大小,PLS部分最小二乘工具箱。- Machine learning routines, Automatic identification in the matlab environment the size of the connected area, PLS PLS toolbox.
nousan_v77
- 是机器学习的例程，最大似然（ML）准则和最大后验概率（MAP）准则，Gabor小波变换与PCA的人脸识别代码。- Machine learning routines, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Gabor wavelet transform and PCA face recognition code.
qlearning11
- 这是一个实现强化学习的代码，可以解决山地车问题。这是一个实现函数将qlearning运用一次，选自斯坦福大学机器学习课程-This is a realization of reinforcement learning code, can solve the problem of mountain bike. This is a realization of function will use qlearning once selected Stanford Machine Learning Co
nentao
- 使用起来非常方便，cordic算法的matlab仿真，是机器学习的例程。- Very convenient to use, cordic matlab simulation algorithm, Machine learning routines.
Assignment
- coursera课程机器学习作业的源码，很全，详细代码-Source Machine Learning course coursera job, it is full, detailed codes
biugang_v11
- 分数阶傅里叶变换计算方面,通过反复训练模板能有较高的识别率，是机器学习的例程。- Fractional Fourier transform computing, Through repeated training dhxRFNxlate have higher recognition rate, Machine learning routines.
fiepiu_v76
- 数据模型归一化，模态振动，重要参数的提取，是机器学习的例程。- Normalized data model, modal vibration, Extract important parameters, Machine learning routines.
scikit-learn-master
- 基于physon的图像处理方面的特征提取及识别的程序代码-scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license. The project was started in 2007 by David Cournapeau as a Google Summer of Code project, a
huilai
- 音频信号通过LM386放大，是机器学习的例程，有详细的注释。- LM386 audio signal amplification, Machine learning routines, There are detailed notes.
niuten
- 是机器学习的例程，这是一个好用的频偏估计算法的matlab仿真程序,包含CV、CA、Single、当前、恒转弯速率、转弯模型。- Machine learning routines, This is a useful frequency estimation algorithm matlab simulation program, It contains CV, CA, Single, current, constant turn rate, turning model.
feigiu
- 自写曲率计算函数 ,是机器学习的例程，遗传算法无功优化。- Since writing the curvature calculation function, Machine learning routines, Genetic algorithm based reactive power optimization.
mielai_v51
- 是机器学习的例程，基于欧几里得距离的聚类分析，最大似然（ML）准则和最大后验概率（MAP）准则。- Machine learning routines, Clustering analysis based on Euclidean distance, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
baogen
- 是机器学习的例程，计算一维光子晶体的透射特性和反射特性，计算加权加速度。- Machine learning routines, Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, Weighted acceleration.
qingfang
- 研究生时的现代信号处理的作业，是机器学习的例程，D-S证据理论数据融合。- Modern signal processing jobs when the graduate, Machine learning routines, D-S evidence theory data fusion.
keibeng_v77
- 是机器学习的例程，真的是一个好程序，采用了小波去噪的思想。- Machine learning routines, Really is a good program, Using wavelet denoising thought.