Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

Leon Schools graduation rate improves after difficult pandemic period

During the 2020-21 school year, the district posted a graduation rate at 94%. After the pandemic sent students into distanced ...
EurekAlert!

Energy learning hyper-heuristic algorithm for cooperative task assignment of heterogeneous UAVs under complex constraints

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
IEEE

Let Invariant Learning Inspire Neighbor-shift Generalization on Graphs

Abstract: Graph Neural Networks (GNNs) have achieved strong performance on various graph learning tasks under the assumption of independently and identically distributed (IID) data. However, recent ...
Frontiers

KG2ML: Integrating Knowledge Graphs and Positive Unlabeled Learning for Identifying Disease-Associated Genes

The final, formatted version of the article will be published soon. Background Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known relationships among ...

How to Create a Burndown Chart + Free Templates for Agile Teams

Learn how to create burndown charts to track project progress, improve team performance, and download free templates to get ...
IEEE

Enhancing Graph Structure Learning via Motif-Driven Hypergraph Construction

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...
InfoQ

Beyond Win Rates: How Spotify Quantifies Learning in Product Experiments

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
thechurchnews

Learning from different versions of the Bible

A December update to the General Handbook allows for more flexibility in Bible usage at home and at church. “Generally, members should use a preferred or Church-published edition of the Bible in ...
Journal of Medical Internet Research

Using Machine Learning Methods to Predict Early Treatment Outcomes for Multidrug-Resistant or Rifampicin-Resistant Tuberculosis to Enhance Patient Cure Rates: Development and ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...