搜索资源列表
BP
- 基于大坝温控的温度预报程序，采用了L-M优化算法和贝叶斯正则化算法，结果良好-Prediction based on the temperature of the dam temperature control program, using the LM optimization algorithm and the Bayesian regularization algorithm, good results
bayesian-matting
- 基于贝叶斯的抠像算法，通过一个最大似然的标准去估计透明度-A Bayesian Approach to Digital Matting，uses a maximum-likelihood criterion to estimate the optimal opacity
Contact-lens-wear-problems
- 该实验采用机器学习方法中的朴素贝叶斯算法用于信息分类，问题的背景是根据一个人的年龄，视力缺陷，散光和泪腺分泌情况决定其是否可佩戴隐形眼镜。-Using machine learning to solve contact problems
apf-
- 关于自适应粒子滤波，我觉得很好用，贝叶斯滤波适合非线性和非高斯环境，在粒子滤波基础上 又加改进-About adaptive particle filter, I feel very good, a bayesian filter for nonlinear and non-gaussian environment, particle filter in again on the foundation and improvement
machine-learningPPT
- 书中主要涵盖了目前机器学习中各种最实用的理论和算法，包括概念学习、决策树、神经网络、贝叶斯学习、基于实例的学习、遗传算法、规则学习、基于解释的学习和增强学习等-The book mainly covers the current variety of the most practical machine learning theory and algorithms, including the concept of learning,
caodichaoshi
- 贝叶斯网络的经典应用，是入门学习贝叶斯的一个经典的例子，很好用，很好理解-Bayesian network of the classic application, very good understanding, is the study of the bayesian introductory material
BayesClassifier
- 自己做的贝叶斯分类器，包括基本贝叶斯，最小风险贝叶斯以及Neyman-Pearson决策-Do bayes classifier, including basic bayesian, the minimum risk bayesian and Neyman-Pearson decisions
beiyes-net
- 最新的机器学习方法相关文章，即贝叶斯网学习经典算法文章-The latest machine learning methods related to the article, that article classical algorithm for Bayesian network learning
ABCSMC_sysbio.tar
- 基于近似贝叶斯计算思想，用于系统生物学里模块功能搜索，结构筛选，参数区间权重划分。强大之处在于，练习者只须用新的生物case编一个input文件即可。输出量为模型，参数的权重。欲改进者可考虑引进粒子滤波中的权重给定方法。-Approximate Bayesian Computation in Python with GPU support。
bayes
- 贝叶斯的分类 并用到高斯混合模型当中有很好的分类效果-bayes
Bayes_test
- 利用GDAL库和OPENCV中的贝叶斯分类器对遥感图像进行分类，简单的两类-Using GDAL and OPENCV, bayes classification. two classes.
GA_test
- 使用贝叶斯预分类的评估函数进行遥感图像波段搜索，遗传算法。-GA, using bayes classification.
xitongbianshi
- 贝叶斯估计，最小二乘法，递推最小二乘法，梯度校*，增广最小二乘法进行系统辨识-Bayesian estimation, least squares, recursive least squares method, the gradient correction method, the augmented least squares method for system identification
beiyesi
- 一个贝叶斯算法的文档，希望对于学习该算法的同仁有所帮助-A bayesian algorithm document, hope to study this algorithm colleagues help
beiyesi1
- 一个贝叶斯算法的文档，希望对于学习该算法的同仁有所帮助-A bayesian algorithm document, hope to study this algorithm colleagues help
beiyesi2
- 一个贝叶斯算法的文档，希望对于学习该算法的同仁有所帮助-A bayesian algorithm document, hope to study this algorithm colleagues help
beiyesi3
- 一个贝叶斯算法的文档，希望对于学习该算法的同仁有所帮助-A bayesian algorithm document, hope to study this algorithm colleagues help
beiyesi4
- 一个贝叶斯算法的文档，希望对于学习该算法的同仁有所帮助-A bayesian algorithm document, hope to study this algorithm colleagues help
beiyesi5
- 一个贝叶斯算法的文档，希望对于学习该算法的同仁有所帮助-A bayesian algorithm document, hope to study this algorithm colleagues help
Minimum-Bayes-classifier-error-rate
- 这是模式识别中最小错误率Bayes分类器设计方案。 自行完善了在不同先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩