搜索资源列表
dpsign-integrate
- 基于数据挖掘的决策树改进算法和贝叶斯改进算法,很有用的()
okna
- 朴素贝叶斯分类算法,可以用来进行分类bayes()
李航_统计学习方法
- 《统计学习方法》是计算机及其应用领域的一门重要的学科。《统计学习方法》全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(The statistical learning method is an important subject in the field of computer and its application.)
Bayesian learning
- 贝叶斯分类算法是统计学的一种分类方法，它是一类利用概率统计知识进行分类的算法(Bayes classification algorithm is a classification method of statistics, which is a classification algorithm using probability statistics)
bayesian-matting-master
- 本文将以图像抠图领域的经典算法——贝叶斯抠图（Bayesian Matting）为例来介绍有关图像抠图技术的一些内容。贝叶斯抠图源自文献【2】，是2001年发表在CVPR上的一篇经典论文。(the image matting using classic bayesian approach)
predict_Bayesian Network
- 贝叶斯网络预测篮球队胜负，使用了爬山学习算法(The Bias network predicts the winning and negative of the basketball team and uses the mountain climbing algorithm.)
text_classification.tar
- 用python实现的问题分类算法，包括贝叶斯，svm,决策树，xgboost,对入门文本分类的同学有一定的帮助(text classification algrithom,include svm,dt,xgboost,bayes,that important to learner about text classification)
rseslib-3.0.4-src
- 包含很多知名算法实现，支持向量机，决策树，粗糙集，贝叶斯分类器等，适合学术研究，短评论意见挖掘，文本分类等(It includes many well-known algorithm implementation, support vector machine, decision tree, rough set, Bias classifier, etc., which is suitable for academic research, short comment mining, text c
BYS10
- 贝叶斯学习算法The inference model based on Bayesian Network is discussed and the algorithm based on the model is presented.(The inference model based on Bayesian Network is discussed and the algorithm based on the model is presented.)
PBUR
- 一个简单的数据挖掘程序,有贝叶斯方法和bp算法,还有决策数的简单实现,()
Matlab_code_OGSBI
- 压缩感知贝叶斯 DOA算法，Off-grid模型，近似模型。(Compressed sensing Bias DOA algorithm, Off-grid model, approximate model.)
bcs_ver0.1
- 贝叶斯压缩感知算法完整代码。值得初学者拥有。(The complete code of Bayesian compressed sensing algorithm, which is be worthy of a beginner.)
74554399
- 朴素贝叶斯分类算法,可以用来进行分类bayes()
FullBNT-1.0.4
- 本文件为统计函数工具箱，里面包含贝叶斯、支持向量机等算法模型，方便使用MATLAB调用(This document is a statistical function toolbox that contains algorithm models such as Bayesian, support vector machines, etc.)
a_New
- 线性卡尔曼，粒子滤波，序贯贝叶斯，信号检测算法。(Kalman Filter; Particle Filter; Sequential Bayesian Approach)
smve-tenporary
- 一个简单的数据挖掘程序,有贝叶斯方法和bp算法,还有决策数的简单实现,()
gwr_models
- 此代码可以用于实现地理加权回归分析；包括普通的地理加权回归和贝叶斯地理加权回归；包含算法代码和应用实例的代码(Geographically weighted regression analysis)
Pattern Recognition
- matlab实现一些基础的模式识别工作，如贝叶斯分类，聚类算法，bp神经网络(Matlab implements some basic pattern recognition work, such as Bayesian classification, clustering algorithm, BP neural network)
BayesLocation
- 室内定位，贝叶斯定位算法，使用matlab编写(Indoor location Bayesian location algorithm The program is written in MATLAB.)
股票市场预测
- LSTM 作为预测模型，使用贝叶斯优化算法来实现股票预测的功能(LSTM as a prediction model, uses Bayesian optimization algorithm to achieve the function of stock forecasting)