generalization bound的作用泛化边界(generalization bound)是一种评估机器学习模型泛化性能的方法,旨在使用训练数据集和网络参数来预测测试误差。尽管目前的泛化边界很少能对实际测试错误产生良好的预测,但它们在架构设计和训练算法等方面提供了有价值的见解。©2022 Baidu |由 百度智能云 提供计算服务 | 使用百度前必读 ...
元泛化误差界限(Meta-Generalization Error Bound)是元学习中用于衡量模型从训练任务中学习到的知识在新任务上的泛化能力的一个理论界限。它通常表示为模型在训练任务上的表现与在未见过的新任务上的表现之间的差异。 定义与解释 在元学习中,我们希望学习到的模型参数能够在见到新的任务时快速适应并取得良好表现。元泛...
有了KL-divergence的bound,作者分析了Langevin dynamics (LD) algorithm [4],并给出了更紧的界。 这里首先考虑一个general的迭代算法:初始值相同,经过T个iterations时KL散度的界,从而可以对上面的EGE进行约束。 这里W_{t|}代表给出W_0...W_{t-1},W_t的条件概率。 随后在LD 算法下得到泛化风险界。 实验...
但是对于这个结论的意义和适用范围，我也是有一些疑问的，比如如果想要定理3中generalization bound收敛到0...
Inequalities; Sample complexity In the theory of statistical machine learning, a generalization bound – or, more precisely, a generalization error bound – is a statement about the predictive... 关键词: Quantitative Finance - Mathematical Finance 91G20 91G80 DOI: 10.1007/978-0-387-30164-8_32...
In the theory of statistical machine learning, a generalization bound – or, more precisely, a generalization error bound – is a statement about the predictive performance of a learning algorithm or class of algorithms. Here, a learning algorithm is viewed as a procedure that takes some finite ...
3) Upper Bound of Generalization Error 推广性误差上界4) spread of the nature 性质的推广 例句>> 5) VC generalization bounds VC推广界 1. The novel algorithm for linear SVM Regression(SVR) is proposed based on VC generalization bounds and applied to comprehensive development of county. 提出...
In the first case, the generalization bound accommodates various choices of basis functions in forming the activation functions in each layer of KAN and is adapted to different operator norms at each layer. For a particular choice of operator norms, the bound scales with the $l_1$ norm of ...
samples. In this paper we go far beyond this classical framework by establishing the first exponential bound on the rate of uniform convergence of the ERM algorithm with V-geometrically ergodic Markov chain samples, as the application of the bound on the rate of uniform convergence, we also ...
We also show that scatter can be used to establish a theoretical generalization bound in the case of domain adaptation. 展开 关键词: Computer Science - Learning Mathematics - Probability 会议时间: 2012 主办单位: Adv Neural Inf Process Syst 被引量: 46 ...