资源列表
simple-classify
- 简单对一些控制点（如粒子、蚂蚁）进行简单分类，便于程序后面一些运算。-Simple some control points (such as particle, ants) simple classification, easy to program back some operations.
recommenderlab_code
- 基于R语言开发的一个推荐系统，测试可以运行。-A recommendation system based on R language, the test can be run.
Machine-Learning
- 排序学习算法,排序学习算法 排序学习算法-learning to rank algorithoms
bpadaboost
- 基于神经网络的Adaboost,即基分类器是神经网络，经过测试，效果好！-Based on neural network Adaboost, that is a neural network-based classification , tested , good results !
SVM-faruto
- 关于svm的方方面面的资料，详述非常详细，是学习的最好资料。-Svm of information on all aspects of detailing in great detail , is the best material to learn.
LibSVM-program-code
- LibSVM-2.6 程序代码注释,非常详细。-LibSVM-2.6 code annotations, very detailed .
adaboost-algorithm
- adaboost算法原理，详细讲述了算法过程，学习的好资料。-adaboost algorithm theory , detailed account of the algorithm process , learning good information .
PGM_Programming_Assignment_2
- PGM-Programming_Assignment_2,概率图模型的网络公开课的第二次作业的代码matlab版本-Code matlab version PGM-Programming_Assignment_2, open class of probabilistic graphical network model' s second job
cdbn
- 卷积的DBN和RBM，包含详细的代码。可运行，并与论文结果相差不大，适合初学者借鉴。-DBN and RBM convolution, contains a detailed code. Can run, and with little difference between the results of the paper, suitable for beginners reference.
wave
- Harr小波具有紧支撑、零调和性和优良的正交性等优点，因此选择它作为小波变换的基函数。对采样数据进行4层小波包变换得到16维的特征样本。-Harr wavelet has compact support, zero reconcile and excellent orthogonality, etc., so choose it as the base function of wavelet transform. 4 layers of sampled data wavelet packet t
DE_ELM
- 用差分进化算法对极限学习机进行优化，得到的极限学习机的诊断精度有了明显提高。-Using differential evolution algorithm to optimize the ultimate learning machine, diagnostic accuracy obtained Extreme Learning Machine has been significantly improved.
DE_OS-ELM
- 用差分算法对在线惯序极限学习机的输入权值和偏置进行优化（本程序只限激励函数为sig），其学习时间比极限学习机分批进行学习总共的时间有所提升，诊断精度也提高了。-Algorithm using differential input weights and the bias line Extreme Learning Machine sequencer used to optimize (this program only excitation function for sig), its lear