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 ...

ABSTRACT: The advanced persistent threat (APT) is an ever-growing issue in cybersecurity, whose emergence and evolution have been accompanied by technological advancement. The study describes an ...

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 ...

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...

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 ...

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

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 ...

TraPO is a semi-supervised reinforcement learning framework that bridges unlabeled and labeled samples for training large reasoning models (LRMs). Built upon GRPO, TraPO leverages a small set of ...

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...