Functional Gradient Techniques for Combining Hypotheses
作者： Peter Bartlett , M Frean , Llew Mason , Jon Baxter
DOI:
关键词: Applied mathematics 、 Econometrics 、 Margin (machine learning) 、 Gradient descent 、 Voting 、 Convergence (routing) 、 Mathematics
摘要: This chapter contains sections titled: Introduction, Optimizing Cost Functions of the Margin, A Gradient Descent View Voting Methods, Theoretically Motivated Functions, Convergence Results, Experiments, Conclusions, Acknowledgments
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