一、Restriction of Break Point 我们先回顾一下上节课的内容,四种成长函数与break point的关系:下面引入一个例子,如果k=2,那么当N取不同值的时候,计算其成长函数mH(N)是多少。很明显,当N=1时, mH(N) =2,;当N=2时,由break point为2可知,任意两点都不能被shattered(shatter的意思是对N个点,能够分解为...
【机器学习基石笔记六】---Theory of Generalization(一般化理论---举一反三),程序员大本营,技术文章内容聚合第一站。
Machine Learning One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development o... TM Mitchell - McGraw-Hill 被引量: 2245发表: 2003年 Exploring Generalization in Deep Learning With a goal of understanding...
《机器学习基石》6-Theory of Generalization Restriction of Break Point 上次我们说到,需要探究 “break point” kk 与 mH(N)mH(N) 之间的关系。回顾一下,mH(N)mH(N) 表示假设空间在 NN 个样本点上能产生的最大二分数量,kk 表示不能满足完全分类情形的样本点数。 让我们来探讨一下,当 kk 确定时,mH...
The term robustness is ubiquitous in modern Machine Learning (ML). However, its meaning varies depending on context and community. Researchers either focus on narrow technical definitions, such as adversarial robustness, natural distribution shifts, and performativity, or they simply leave open what ...
51 国际基础科学大会-Multi-dimensional domain generalization with low-rank structures-Sai Li 57:31 国际基础科学大会-Dive inside a black hole: interior structure and dynamics-Li Li 1:01:02 国际基础科学大会-Cognitive Robotics and AI: From Babies to Robots-Angelo Cangelosi 1:01:08 国际基础科学大会...
Then, based on that, I will introduce a new type of stability notion, which can improve over classical stability notions with respect to generalization behavior in certain situations. Specifically, among different notions of stability, uniform stability is arguably the most popular one, which yields...
Kernel regression is an important nonparametric learning algorithm with an equivalence to neural networks in the infinite-width limit. Understanding its generalization behavior is thus an important task for machine learning theory. In this work, we provide a theory of the inductive bias and generalizati...
C.Generalization: Train and test data ML的核心要求是,学习的模型必须在未观察到的数据和观察到的数据上表现良好。模型很好地预测未见数据的能力称为泛化。我们首先讨论相关术语,然后讨论如何泛化ML模型评估。 通常,术语复杂性用于表示数据关系或ML任务的复杂程度。一个特定的ML模型能够很好地近似特定复杂性的数据关系...
51 国际基础科学大会-Multi-dimensional domain generalization with low-rank structures-Sai Li 57:31 国际基础科学大会-Dive inside a black hole: interior structure and dynamics-Li Li 1:01:02 国际基础科学大会-Cognitive Robotics and AI: From Babies to Robots-Angelo Cangelosi 1:01:08 国际基础科学大会...