首页>
外国专利>
Regularized Dual Averaging Method for Stochastic and Online Learning
Regularized Dual Averaging Method for Stochastic and Online Learning
展开▼
机译:随机和在线学习的正则化双重平均方法
展开▼
页面导航
摘要
著录项
相似文献
摘要
Described is a technology by which a learned mechanism is developed by solving a minimization problem by using regularized dual averaging methods to provide regularized stochastic learning and online optimization. An objective function sums a loss function of the learning task and a regularization term. The regularized dual averaging methods exploit the regularization structure in an online learning environment, in a manner that obtains desired regularization effects, e.g., sparsity under L1-regularization.
展开▼