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bayesnetwork
- 用k2算法从先验概率构建贝叶斯网络，实现推理，结构学习，参数学习用贝叶斯方法。-K2 algorithm using Bayesian network built from the a priori probability to achieve reasoning, structure learning, parameter learning.
subattribspace
- 一个朴素贝叶斯的matlab实现算法一个朴素贝叶斯的matlab实现算法-A Naive Bayes algorithm for matlab in a Naive Bayes algorithm matlab
shujuwajuesuanfa
- 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-Based on data mining and Bayesian Decision Tree Algorithm to improve the algorithm, very useful
BayesWaveletDenoise
- 上传的算法是基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法-From the algorithm is based on Bayesian (BAYES) wavelet threshold (WAVELET) image denoising algorithm
beiyesifenleiqi
- 朴素贝叶斯分类器，对于连续变量情形，此算法将连续变量进行离散，分类效果较好-Naive Bayesian classifier, the continuous variable case, this algorithm for discrete variables, the classification results better
minipro
- 该系统功能：实现手写识别，能通过对样例库中的数据进行学习，然后能判别、分类新的输入样例。其中包含了Kn近邻算法，贝叶斯参数估计的实现。实现了open test, close test等测试方法。-The system features: realization of handwriting recognition, through the library of sample data for study, and then to identify, classify the new input
Bayes
- 非线性跟踪中贝叶斯滤波算法，在无线传感器中的应用-Bayesian non-linear tracking filter algorithm, in the wireless sensor
facedetcer
- 基于贝叶斯理论的指纹识别算法及学习套件, 使用贝叶斯概率论实现对指纹识别,特征码提取,特征对数获取的功能-Based on Bayesian theory and learning algorithm for fingerprint identification kits, the use of Bayesian probability theory to achieve fingerprint, signature extraction, characteristics of the func
KNNwebpageclassificate
- 实现中文网页分类，使用贝叶斯和KNN算法，基本功能可实现-The achievement of the Chinese web page classification, the use of Bayes and KNN algorithm, the basic functions can be realized
Bys
- 贝叶斯网络的算法，它具有结构学习，参数学习，和推理的功能。-failed to translate
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
The_Status_Quo_of_Machine_Learning_of_Artificial_I
- 机器学习是人工智能的一个子领域，是人工智能中非常活跃且范围甚广的主要核心研究领域之一，也是现代智能系统的关键环节和瓶颈。机器学习吸取了人工智能、概率统计、计算复杂性理论、控制论、信息论、哲学、生理学、神经生物学等学科的成果，主要关注于开发一些让计算机可以自动学习的技术，并通过经验提高系统自身的性能。本文介绍了机器学习的概念、基本结构和发展，以及各种机器学习方法，包括机械学习、归纳学习、类比学习、解释学习、基于神经网络的学习以及知识发现等，并简单叙述了机器学习的相关算法，包括决策树算法、随机森林算
Bayes_Classify
- 基于贝叶斯最小错误率算法的崇明岛遥感图像分类程序。并且有饼状图显示各类地物比例-Minimum error rate based on Bayesian algorithm for Chongming Island, the remote sensing image classification procedures. And the pie chart below shows the proportion of various types of features
K2
- 贝叶斯网络学习算法——k2算法，包括对贝叶斯网络结构的学习，最后生成网络-Bayesian network learning algorithm- k2 algorithms, including Bayesian network structure learning, the last generation network
navieBayes
- 条件独立的有监督朴素贝叶斯分类算法。参数估计，输入训练集和测试集，得到分类结果和分类准确率-naviebayes
NB
- 特征之间非独立的有监督朴素贝叶斯分类算法。参数估计，输入训练集和测试集，得到分类结果和分类准确率-NB
Bayes_EM
- 利用matlab实现的基于EM算法的贝叶斯分类器的源代码，可以用来分类或识别，很值得收藏-Using matlab to achieve EM algorithm based on Bayesian classifier of the source code can be used to classification or identification, it is worthy of collection
Bayesianclassifierfortextclassificationalgorithms.
- 用于文本分类的朴素贝叶斯分类算法，包括代码和测试数据-Naive Bayesian Text Classification for classification algorithms, including the code and test data
beiyesipanduan
- 判别贝叶斯网络的学习算法及其应用研究 优秀硕士论文-Bayesian network learning algorithm identification and application of best master' s thesis
sparsebays
- 实现稀疏贝叶斯模型的一个有效的学习算法的matlab函数包-Sparse Bayesian models to achieve an effective learning algorithm matlab function package