看了很多新回答持批判态度...但是我想说的是，任何试图同时实现“经济学理论模型的可解释性”和“机器学习的精准拟合和预测能力”的学术方向都是进步的。如果只能在“黑盒”和“低拟合高解释”之间做trade off，那就永远会被经济学民科或者搞马经的反智群体用他们的反智言论恶心到。毕竟你所学的一切理性思维和Economics ...

Machine generated contents note: ch. 1 Introduction: Learning to Change -- Preview -- The Constancy of Change -- Natural Selection -- Evolved Behavior -- Reflexes -- Modal Action Patterns -- General ...

Drexel University’s School of Education is rich with expertise in many diverse fields of research. Our research is collaborative, expansive, interdisciplinary and focused with a particular emphasis on ...

Electronic nudges delivered to health care clinicians based on a machine learning algorithm that predicts mortality risk quadrupled rates of conversations with patients about their end-of-life care ...

Elementary school children involved in pandemic-related remote learning faced greater disruptions in sleep habits and behavior than children learning in person, according to a new small study.

Elementary school-aged children enrolled in remote learning experienced greater behavioral, learning-related, and sleep difficulties compared with children receiving in-person instruction, according ...

Self-learning AI enhances behavioral analytics for detecting advanced threats and insider risks, but demands careful attention to bias, transparency, and ethical use. Self-learning AI improves threat ...

Assessing student learning effectively is often complicated by relying on ambiguous proxies such as grades, quiz scores, or assumptions about students' internal states, such as what they feel, think, ...

As the next school year approaches, we all face the harsh reality that schools will likely remain closed and online instruction will continue. The transition to virtual learning poses new and unique ...

Patients in this study, who had overall significantly higher scores than controls, fell into 3 categories of psychological risk from temporal lobe epilepsy (TLE) based on analysis with unsupervised ...