搜索资源列表
A_MCMC_approach_for_Bayesian_super-resolution_imag
- MCMC方法的超分辨paper，此论文是已贝叶斯统计论文为基础，是另一种很有效的sr方法-MCMC methods for super-resolution paper, this thesis is based on Bayesian statistical papers, is another very effective method sr
BAYES
- 朴素贝叶斯分类器代码，能够进行分类，-Naive Bayesian classifier code, can be classified,
bayesclassifier
- 基于贝叶斯分类器的牙周病诊断系统，用matlab实现-Bayesian classifier based on periodontal diagnostic system, using matlab to achieve
spambayes-1.1a3.tar
- 用python实现的邮件过滤器，是基于贝叶斯算法的-Achieved using python spam filter is based on Bayesian Algorithm
Bayes++
- 图像分类器，可实现贝叶斯滤波以及分类，应用与人脸识别，车牌识别等等。-Image classifier, Bayesian filtering can be achieved as well as the classification, application and face recognition, license plate recognition and so on.
knn
- 朴素贝叶斯(Naive Bayes, NB)算法是机器学习领域中常用的一种基于概率的分类算法，非常简单有效。k近邻法(k-Nearest Neighbor, kNN)[30,31]又称为基于实例(Example-based, Instance-bases)的算法，其基本思想相当直观：Rocchio法来源于信息检索系统，后来最早由Hull在1994年应用于分类[74]，从那以后，Rocchio方法就在文本分类中广泛应用起来。-Naive
NaiveBayes
- 朴素贝叶斯分类算法，《机器学习及java实现里面的》-Naive Bayesian classification algorithm, the realization of machine learning and java inside
NaiveBayesSimple
- 朴素贝叶斯分类算法2，《机器学习及java实现里面的》-Naive Bayesian classification algorithm 2, the realization of machine learning and java inside
mssbbys
- 模式识别贝叶斯程序，实现模式识别中的贝叶斯程序。-Bayesian pattern recognition procedures, the realization of the Bayesian pattern recognition procedures.
bayesfortext
- 本文通过分析朴素贝叶斯的两种常见的实现 模型：二项独立模型（BIM）和多项模型（MM），提出混和模型的朴素贝叶斯方法和带有单词量相关的 平滑因子的混和模型。-In this paper, by analyzing the Naive Bayesian realization of the two common models: two independent model (BIM) and a number of model (M
CodeforParticlefilter
- 关于时下流行的粒子滤波程序的源码，做视频跟踪和贝叶斯图像分析的同行可以-On the popular particle filter procedure source, make video tracking and image analysis Bayesian counterparts can
data_mining1
- 本资料含有国外最经典的数据挖掘的论文。有决策树，贝叶斯等-This information contains a foreign classic data mining papers. There are decision trees, Bayesian, etc.
BLS-GSM_Denoising
- BLS-GSM 即"Bayesian Least Squares - Gaussian Scale Mixture".基于贝叶斯最小平方-高斯概率混合模型的算法。用于图像去噪。相关文献索引详见readme-BLS-GSM or
PatternRecognition
- 详细讲解了模式识别的算法理论，如近邻法，贝叶斯决策理论等，以及人工神经网络的主要算法-Detailed account of the theory of pattern recognition algorithms, such as neighbor method, Bayesian decision theory, as well as artificial neural network algorithm
bayesian
- 贝叶斯分类器设计，基于VC编写的，非常好-Bayesian classifier design, based on the VC prepared, very good
BAYES
- 判别分析算法的贝叶斯算法C++程序，能对数据进行概率统计分类-err
BeyesClassifier
- 一个很好的贝叶斯分类器，通过训练可以进行各种文本分类-A very good Bayesian classifier, through training can be a variety of text classification
FullBNT
- 贝叶斯matlab程序设计算法，给出了各种实验数据和实验方法。-Bayesian matlab programming algorithm, given a variety of experimental data and experimental methods.
FullBNT
- 贝叶斯matlab程序算法，给出了大量练习数据和实验方法以及结果分析。-Bayesian algorithm matlab procedures are given a great deal of practice data and experimental methods and results analysis.
NonparametricBayesianImageSegmentation
- 贝叶斯算法相关，贝叶斯算法是模式分类领域的鼻祖算法，优势明显缺陷亦明显-Bayesian algorithm related to Bayesian algorithm is the originator of the field of pattern classification algorithms, have obvious advantages are obvious defects