Erratum: SGDQN is Less Careful than Expected

Antoine Bordes,Léon Bottou,Patrick Gallinari,Jonathan Chang,S. Alex Smith

Journal of Machine Learning Research（2010）

引用 32|浏览43

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摘要

The SGD-QN algorithm described in Bordes et al. (2009) contains a subtle flaw that prevents it from reaching its design goals. Yet the flawed SGD-QN algorithm has worked well enough to be a winner of the first Pascal Large Scale Learning Challenge (Sonnenburg et al., 2008). This document clarifies the situation, proposes a corrected algorithm, and evaluates its performance.

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关键词

support vector machine,conditional random fields.,flawed sgd-qn algorithm,corrected algorithm,stochastic gradient descent,sgd-qn algorithm,subtle flaw,large scale learning challenge,design goal,conditional random field

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