资源列表
machine-learning
- python3实现各种机器学习算法，包括knn算法，决策树算法，SVM算法，朴素贝叶斯算法等-Python3 realize all kinds of machine learning algorithms, including KNN algorithm, the decision tree algorithm, the SVM algorithm, naive bayesian algorithm, etc
heston-summer-xls
- GAUSS has two electronic help systems, corresponding to the GAUSS pdf manuals (available at http://www.aptech.com). 1. The Command Reference is an easy way to pick up information on commands (as long as they are not deemed obsolete ), and is or
programme
- 将彩色图转化成灰度图，在此基础上统计连通区域，根据一定的统计特性，设置一定的准则，检测出人脸。-The color map is converted to grayscale, communicating regional statistics on this basis, according to certain statistical properties, set certain criteria, detects a person' s face.
baseflight-master
- 用python语言实现了常用的概率算法，非常建议本科生在学习概率论的时候跑一跑这些算法，养成贝叶斯思维-Using python language commonly used probabilistic algorithms, highly recommended undergraduate study in probability theory, when these algorithms run a race, to develop Bayesian thinking
455956
- 本文由西安电子科技大学全国著名学者焦李成教授所作,阐述了图像稀疏表示以及遗传算法,隐马模型,种群进化等的研究现状以及前景,()
WordSimilarity
- 基于知网的相似度计算算法，可计算不同词语间的相似度-HowNet based similarity calculation algorithm, calculating the similarity between words can be different
eksenmp9
- 一个很好的BP算法,利用C实现 希望对大家有帮助,多多交流()
LDA_ FDA_with_tutorial
- LDA降维是常用的降维手段之一，是常用的有监督学习降维工具。这个文件对其产生W后的使用进行了简要说明，使用W进行最终的降维可以得到十分漂亮的分析结果（在数据分布符合假设分析的情况下。）(LDA dimension reduction is one of the commonly used dimensionality reduction methods. It is a commonly used supervised learning dimensionality reduction tool
smmc
- SMMC聚类算法，子空间聚类和多流形聚类均好用，线性空间和非线性空间也好用。-SMMC clustering algorithm, subspace clustering and multi manifold clustering are well used, linear space and nonlinear space.
Indoor-residence-testing
- 通过温度、湿度、光照等条件检测室内居住情况，居住为1，不居住为0-Through the temperature, humidity, light and other conditions to detect indoor living conditions, living in 1, do not live to 0
9135699
- layout顶级文章,台湾资深工程师所著()
SVC
- 建立LibSVM预测模型，基于网格算法、粒子群算法、遗传算法优化了模型参数，并由最终模型预测了给定切削参数下零件的粗糙度等级。-Establish LibSVM prediction model, grid-based algorithm, particle swarm optimization, genetic algorithm to optimize the parameters of the model, the final model prediction given by the c