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Sep, 2011
ShareBoost: 基于特征共享的高效多类学习
ShareBoost: Efficient Multiclass Learning with Feature Sharing
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Shai Shalev-Shwartz, Yonatan Wexler, Amnon Shashua
TL;DR
研究多分类预测问题，提出了一种名为ShareBoost算法的模型，能够使用少量、共享的特征进行预测，并证明该模型具有较小的泛化误差。通过一系列与其他算法相比的实验证明了该方法的有效性。
Abstract
multiclass prediction
is the problem of classifying an object into a relevant target class. We consider the problem of learning a multiclass predictor that uses only
few features
, and in particular, the number of
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