资源列表
Backtracking-Search-Algorithm
- 回溯搜索算法源代码Backtracking Search Algorithm-Backtracking Search Algorithm
ga
- 神经网络优化权值和阀值和网络结构，值得一看，推荐-Neural network optimization weights and thresholds and the network structure, worth a visit, it is recommended
Nbarcontroller
- 自己编写的倒立摆系统的状态空间极点配置控制设计的程序-Write your own inverted pendulum system s state space pole assignment control design procedure
MLLOC
- 通过挖掘类标间关系的多类标学习算法。ML-LOC is a package for multi-label learning by exploiting label correlations locally.-ML-LOC is a package for multi-label learning by exploiting label correlations locally.
napping
- 非参数政策梯度的napping机制的java代码参考文献：Qing Da, Yang Yu, and Zhi-Hua Zhou. Napping for Functional Representation of Policy. In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 14), Paris, France, 2014.-This
OPAUC
- One-Pass AUC 优化的matlab代码。参考文献：Wei Gao, Rong Jin, Shenghou Zhu and Zhi-Hua Zhou. One-Pass AUC Optimzation. In: Proceedings of the 30th International conference on Machine Learning (ICML 13), Atlanta, GA, 2013, JMLR: W&CP 28(3), pp.906-914. -This pa
M3LDA
- 多模多实例多类标LDA的代码。参考文献：C.-T. Nguyen, D.-C. Zhan, and Z.-H. Zhou. Multi-modal image annotation with multi-instance multi-label LDA. In: Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 13), Beijing, China, 2013.
mimlwel
- 多实例多类标学习算法 MIMLWEL的matlab代码。-This package includes the MATLAB code of the multi-instance multi-label learning algorithm MIMLWEL.
k-means_g
- 实现了kmeans算法，其功能已经比较完善，聚类效果很好。-Kmeans algorithm implements its function have been more perfect, clustering works well.
finalmatlab
- 用matlab分类星云文件，使用SVM方法，包括特征提取和分类，有完整的成俗和数据-Category nebula with matlab file using SVM methods, including feature extraction and classification, and data integrity into vulgar
UFLDL-1
- Andrew Ng老师的关于unsupervised feature learning and deep learning的入门电子书-An introduction to unsupervised feature learning and deep learning from Andrew Ng
UFLDL-2
- Andrew Ng老师的关于unsupervised feature learning and deep learning的入门电子书-An introduction to unsupervised feature learning and deep learning from Andrew Ng