搜索资源列表
sPl1Pl21
- 论文 Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty 的算法源代码,是sparse+l1+lq,1的稀疏属性选择算法。- Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty Problem
lightlda-master
- LightLDA is a distributed system for large scale topic modeling. It implements a distributed sampler that enables very large data sizes and models. LightLDA improves sampling throughput and convergence speed via a fast O(1) metropolis-Hastings algori
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- poj题目,帮助jimmy,经典动态规划()
SSTCA
- 半监督迁移SSTCA算法实现,matlab代码。包括拉普拉斯图矩阵(Semisupervised Domain Adaptation via Transfer Component Analysis)