Efforts to use the tech to customize lessons to students' individual interest demonstrate its potential—and the shortcomings.

Abstract: We propose a method for learning a classifier that accurately predicts both instance and bag classes in multiple instance learning (MIL) for anomaly detection, achieving significant ...

Abstract: In the field of computational pathology, multiple instance learning (MIL) has become a critical modeling framework for analyzing gigapixel whole-slide images (WSIs). Data scarcity, ...

Programmers learning Rust struggle to understand own\x02ership types, Rust’s core mechanism for ensuring memory safety ...

Some school districts, including ones in Maine, New Mexico, Iowa and Oregon, are shifting to standards-based grading, where students are graded on the skills and concepts they learn instead of points ...

This is an instance-based self-adaptive scale fusion implementation built on PyTorch. In ./model/adaptiveScaleFusion.py, hybrid weights are assigned across two instance scales, and the method has been ...