彭镜夫，清华大学丘成桐数学科学中心助理教授。主要从事统计学与机器学习理论研究，研究方向包括模型选择与模型平均、对抗机器学习及深度学习理论等。相关成果发表于Journal of the American Statistical ...

Epshtein argues that a deeper understanding of generalization and principled use of prior knowledge are essential to building ...

Many people shy away from the idea of making decisions based on stereotypes. Why? Stereotype has a negative connotation. But a stereotype is simply a generalization about how a group of people behaves ...

It’s a question that’s been around for a very long time: which is better to focus on, specialization or generalization? Many people have to ask themselves this as they develop skills for a future ...

Variability is crucially important for learning new skills. Consider learning how to serve in tennis. Should you always practice serving from the exact same location on the court, aiming at exactly ...

(A) Overall structure of the model. MLP, multilayer perceptron. (B) Structure of the time encoder module. (C) Structure of the channel encoder module. BN, batch normalization. “Domain bias caused by ...

OOP (object oriented programming) is a paradigm that is centered on objects and data rather than actions and logic. When working with OOP, it is imperative that you identify the objects and their ...

Domain bias caused by individual differences and device variations severely limits BCI's practical application, while existing methods struggle with ...