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介绍:神经网络入门.

* [《A Nearly-Linear Time Framework for Graph-Structured Sparsity》](http://jmlr.org/proceedings/papers/v37/hegde15.pdf)

介绍:来自麻省理工的结构化稀疏论文.

* [《Optimal and Adaptive Algorithms for Online Boosting》](http://jmlr.org/proceedings/papers/v37/beygelzimer15.pdf)

介绍:来自雅虎的机器学习小组关于在线Boosting的论文 .

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