Abstract: Inductive bias represents an important factor in learning theory, as it can shape the generalization properties of a learning machine. This paper shows that biased regularization can be used ...
Six out of 1339 Six anomalous images of galaxies identified by artificial intelligence, including: a galactic merger (top right); a “collisional ring” galaxy that has been smashed by a secondary ...
To evaluate the diagnostic performance of semi-supervised learning models for aggressive prostate cancer detection on MRI compared to fully supervised models trained with additional expert annotations ...
Machine learning is revolutionizing behavioral neuroscience by enabling the study of animal behavior with greater ecological validity while maintaining experimental rigor. Traditional manual ...
Researchers at Los Angeles-based UCLA Health have developed an AI model that uses EHRs to identify patients with undiagnosed Alzheimer’s disease. The model was trained on records from more than 97,000 ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
We’ve all been in meetings where leaders are asked to collaborate, yet the room doesn’t feel collaborative at all. Andy Hargreaves once called this contrived collaboration, which occurs when ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results