Classification with Gaussians and convex loss II：improving error bounds by noise conditions
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- 作者：XIANG
- 所属单位：数理与信息工程学院
- 文献类型：期刊
- 发表时间：2011-01-01
- 发表刊物：中国科学(数学英文版)
- 期号：第1期
- 页面范围：165-171
- Issn号：1674-7283
- 是否译文：否
- 关键字：损失函数；分类算法；高斯和；环境改善；Tikhonov正则化；噪声；误差界；继续学习
- 摘要：We continue our study on classification learning algorithms generated by Tikhonov regularization schemes associated with Gaussian kernels and general convex loss functions. Our main purpose of this paper is to improve error bounds by presenting a new comp
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