Plug-in Approach to Active Learning
Plug-in Approach to Active Learning
复制标题
主动学习的插件方法
DOI：
10.5555/2503308.2188388
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Stanislav Minsker
中科院分区：
文献类型：
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作者：
Stanislav Minsker
我们基于回归函数的非参数估计器提出了一种新的主动学习算法。我们的调查为在广泛的基础分布中提出的方法实现的概括率率提供了概率界限。我们还证明了Minimax的下限，这表明所获得的速率几乎很紧。
We present a new active learning algorithm based on nonparametric estimators of the regression function. Our investigation provides probabilistic bounds for the rates of convergence of the generalization error achievable by proposed method over a broad class of underlying distributions. We also prove minimax lower bounds which show that the obtained rates are almost tight.